— Agility Robotics named Michael Beer as its chief financial officer. Current CFO and chief operating officer Jennifer Hunter will transition to serving exclusively as COO.

“Michael brings outstanding public company finance and capital markets experience, while Jennifer, with her prior experience as a publicly traded COO, will focus exclusively on scaling our operational excellence and manufacturing capabilities,” said CEO Peggy Johnson, in a statement.

The Salem, Ore.-based startup, whose two-legged Digit robots have been tested inside Amazon warehouses, is set to become the first publicly traded U.S. company dedicated solely to humanoid robots, the company announced last month.

Beer joins Agility Robotics from the California energy storage company Energy Vault, where he was CFO for two years. Past roles include venture partner at Vest Coast Capital and CFO at FreeWire Technologies.

— Seattle-area tech veteran Matt Fisher has taken the role of CTO for London-based Efekta Education. The company is developing an agentic teaching and learning platform.

“I’ve spent my career building technologies that help people learn, connect and achieve more. What attracted me to Efekta is its clear vision for using AI to enhance learning, support teachers and
make high-quality education accessible to more people around the world,” Fisher said.

Last August, Fisher joined immersive media startup Adventr as a late-stage co-founder. Prior to that, he was co-founder and CTO at Daydream, a startup that raised a $50 million seed round last year to shake up the way people find and buy clothing online. Other past roles include leadership at Amazon, Microsoft, Nordstrom and Auth0.

— There is another name to add to the raft of departures from Microsoft‘s security leadership.

Rahul Prakash, head of product for Microsoft Security Copilot, shared that he’s leaving his role after nearly a decade with the company.

“As any Identity professional will tell you, the world of [Identity Access Management] is far more intricate than people realize, and it’s being rewritten for the world of AI agents. At Microsoft, I’ve had the privilege of going deep into this space…” Prakash said on LinkedIn.

On Monday, GeekWire reported that Rudra “Rudy” Mitra, who spent more than 27 years at Microsoft, was joining Amazon Web Services as vice president of security services. Other recent departures include Krishna Kumar Parthasarathy, who resigned at after nearly three decades.

— Nancy Lipson has joined Zap Energy as chief legal officer. The Everett, Wash.-based company is in pursuit of fusion energy, and recently expanded its scope to include next generation nuclear fission.

Lipson was previously executive vice president and CLO for the gold mining giant Newmont Corporation, departing after 18 years in 2023.

“Nancy’s deep expertise in areas of corporate strategy, governance, compliance, and sustainability will be key assets as Zap pursues its integrated approach to advanced nuclear,” Zap posted on LinkedIn.

— Jyoti Shukla was named chief product and technology officer at KEXP, a nonprofit radio station serving Seattle and the Bay Area. The station includes community and performance spaces, and features wide-ranging music genres.

“There is a lot of meaningful work ahead, and I’m excited to keep learning, building, and partnering with an amazing team as we shape what’s next,” Shukla said on LinkedIn.

Prior to taking the role, Shukla served on KEXP’s board of directors and was senior vice president of product design at SiriusXM. She has also worked in tech leadership roles at Nordstrom and Starbucks, and started her career at Microsoft.

— ZEV Co-op, a Washington-based nonprofit EV carshare cooperative, announced Ry Armstrong as its new executive director. Armstrong was previously at Sustainable Seattle, where they served as co-director. 

— Tirzah VanDamme has joined Gagen MacDonald as senior director of AI and digital transformation. She brings more than 20 years of experience and was most recently at Microsoft.

— The Washington State Academy of Sciences (WSAS) announced the election four new board members. They are:

• Amanda Boyd, executive director of Native American Programs and Professor in the Elson S. Floyd College of Medicine at Washington State Universit
• Mary Czerwinski, former research manager at Microsoft Research
• John Stein, former science and research director of NOAA Fisheries’ Northwest Fisheries Science Center
• Judith Wasserheit, professor emerita of Global Health, Medicine, and Epidemiology at the University of Washington

WSAS also elected 30 new members, who will assist the organization in providing scientific and technical information to state policymakers.

They include 26 scientists and engineers elected by their WSAS peers and four members recently elected to the National Academies of Science, Engineering, or Medicine or awarded the Nobel Prize and who reside or work in Washington state.

The members include 11 UW professors and eight from WSU, five researchers from Pacific Northwest National Laboratory, three from Fred Hutch Cancer Center, and three at private companies, with some participants holding roles at multiple institutions.

GeekWire is profiling over the next few weeks some of the people and teams that are shaping the evolution of Microsoft in what we’re calling its “Microsoft 2.5” era.

AI has had an impact on just about every tech-product category, but especially security. Attackers are using AI; customers are looking to defend with AI. The goalposts keep shifting. “Agentic security” is now the holy grail, and Hayete Gallot, the newly minted executive vice president of Microsoft Security, is leading the charge toward it.

Gallot, a 16-plus-year Microsoft veteran who rejoined the company in February after a 1.5-year Google detour, replaced Charlie Bell, who came to Microsoft from AWS in 2021 and continues at the company as an individual contributor focused on engineering quality.

“Customers care about two things: solving for security and being able to afford it,” Gallot said when I asked during our interview this week why she came back to Microsoft.

“I am a problem solver. And an engineer at heart (and by training). Security is the most important problem right now — and Microsoft is the only place with all of the puzzle pieces to help our customers.”

Since her return, Gallot hasn’t been shy about shaking things up. As noted recently by The Information, at least nine corporate vice presidents who previously reported to Bell have left the company this year.

“We’re making changes to ensure we’re in the best formation to go after this opportunity,” she acknowledged.

“I’m motivated by doing the right thing for our customers, my teams, and tech outcomes,” she said. “I like to move quickly: days and weeks, not months and years, learning through execution, iterating rapidly, and adjusting based on real customer signals.”

The company isn’t starting from scratch. As of 2021, Microsoft claimed security was a $10 billion business for the company. By 2023, security had reached a $20 billion annual revenue rate, officials said.

Those claims haven’t been without controversy. Microsoft has built a huge business in finding and fixing security problems which some customers felt were of the company’s own making.

Microsoft has a wide-ranging and rather unwieldy security portfolio, encompassing identity management (Entra), endpoint protection (Defender), endpoint management (Intune), security information and event management (Sentinel), and compliance (Purview), among others.

In 2023, Microsoft introduced its Security Copilot set of AI analysis services that integrated with some of its existing security offerings. But a portal-based solution like Security Copilot doesn’t offer the kind of end-to-end coverage that an agentic security platform can, Gallot said.

The problem is that attackers are using agents, too. Customers need real-time insight into what’s happening in their environment, and the ability to act just as quickly, Gallot said.

Agentic security is about “taking the signals and turning them into a graph that is useful,” Gallot said. “If you’re trying to reason about 100 trillion signals, it’s not really effective.” The graph, she said, lets agents pick the right model for each threat and close the loop.

In practice, that means the system can quarantine a device or revoke access on its own, for example, rather than waiting for a human.

Microsoft’s core existing security products will continue to play a role as the landscape evolves, both spotting the problems and acting on them. Security Copilot isn’t going away in the process: “You’ll have Copilot and you’ll have agentic security,” she said.

The company’s new Agent 365 “control plane” — a central console for tracking every AI agent a company runs — fits in by letting customers see the “blast radius” of an agent, meaning everything a hijacked agent could reach, Gallot said. It’s similar in concept to Zero Trust, the “never trust, always verify” security model that limited how far an attacker could get with a stolen employee login, but applied now to agents rather than people.

So what exactly is this ‘agentic security’ thing? Microsoft has a whole website dedicated to the very topic.

Traditional AI security and agentic AI security are fundamentally different, Microsoft says. Agentic security doesn’t just protect models and training data; it also can protect tools, workflows, memory, connected systems and more. Because agents can take action, the potential positive and negative stakes are higher.

While AI has helped businesses make strides in finding and fixing vulnerabilities, it hasn’t gone much beyond that. Microsoft introduced its multi-model agentic scanning harness (MDASH) as its first step into the agentic security space, Gallot said.

The company used MDASH internally to boost finding and fixing Windows security issues, and it is now making it available to select customers in an expanded preview. MDASH will allow customers to use the best model for the right task to secure all different types of code bases, she said.

Microsoft is rumored to be readying a more comprehensive agentic security offering, of which MDASH is likely just one piece.

Microsoft is far from the only one doing this. AWS, Anthropic, and OpenAI are offering security tools on their platforms, and dedicated security vendors are building their own agentic platforms.

Microsoft has the advantage of scale in the enterprise. The question is whether Gallot and her new leadership team can turn that scale and emerging AI tools into both a bigger business for the company and better protection for its customers.

Seattle’s Copper has landed a high-profile new backer as it looks to accelerate growth of its consumer rewards platform, announcing Tuesday that Grammy-winning artist, DJ and entrepreneur Diplo has invested in the company.

Financial terms of the investment were not disclosed.

“I’m always looking for things that actually make sense for people,” Diplo said in a statement. “Copper’s one of those — you’re already on your phone, you’re already spending money, and this gives something back. That’s real.”

Copper says more than 4 million members use its platform to earn money through mobile games, cash-back offers and purchases.

Copper CEO Eddie Behringer, who previously co-founded Snap! Raise, said the company is building an alternative to consumer apps that monetize users’ attention.

“Most consumer apps are designed to take more from the user — more time, more money, more attention,” Behringer said in a LinkedIn post. “At Copper, we’re building the opposite.”

Founded in 2019, Copper originally launched as a banking app for teenagers. GeekWire covered the startup in 2022 after it raised $29 million in funding to expand into investing products, at a time when the company had nearly 1 million users.

The startup has since evolved into a broader consumer rewards platform. Copper has raised $42 million to date and recently ranked No. 2 among the Pacific Northwest’s fastest-growing companies in Deloitte’s Technology Fast 500 rankings, based on three-year revenue growth.

Diplo, whose real name is Thomas Wesley Pentz, has built a business portfolio that extends beyond music, investing in technology and consumer startups while launching ventures such as Diplo’s Run Club, a series of 5K races paired with music festivals.

He’s a three-time Grammy winner, and has collaborated with artists like Labrinth and Sia as part of the musical group LSD and worked with musician Mark Ronson on Silk City. He’s also the founder of record label Mad Decent.

In 2024, Copper discontinued its banking services following the collapse of fintech infrastructure provider Synapse, forcing the startup to pivot away from its original business. “Despite our prior planning, this event has forced us to close banking accounts much sooner than anticipated,” Behringer wrote at the time.

The company has since rebuilt around its rewards platform, which it says now serves millions of users.

Behringer said that the company’s mission was always about helping families improve their financial lives.

“As household costs rose, we saw an even bigger opportunity to help the person making everyday spending decisions earn more from the things they were already doing—from buying groceries to shopping in-store and spending time on their phone,” Behringer tells GeekWire via email. “Diplo’s investment is meaningful validation of how far that evolution has come.”

Backstage at a Seattle tech event in the early 2000s, Chris Diorio was waiting his turn to speak. Next to him was Jeff Bezos, whose company was already becoming a household name.

Diorio, the leader of Impinj, then a tiny local startup, turned to the Amazon founder: “Jeff, you’ve got a much bigger near-term opportunity than we do,” Diorio recalls saying, “but we’ve got a much bigger long-term opportunity than you do.”

Before Bezos could respond, he was called onstage.

“The technology turned out to be way harder than I thought,” Diorio acknowledged after telling that story in a recent interview. “But that’s what I told him — and I still believe in those words. Our opportunity is to deliver physical intelligence for every item in the world.”

A quarter-century after that chance encounter, Diorio rang the Nasdaq opening bell Tuesday morning in New York City to mark the 10th anniversary of Impinj’s IPO. The company’s tiny, battery-free RFID chips — each smaller than a grain of sand — have been embedded in more than 160 billion items, including clothing, pharmaceuticals, airline luggage, and groceries.

Impinj commands nearly two-thirds of its market, won a patent war against a rival 15 times its size, and has grown from a $250 million IPO valuation to a market cap of more than $4.2 billion. Along the way, the company survived a billion-dollar industry hype cycle that killed nearly every competitor.

And yet, Impinj has posted exactly one profitable year since going public — thanks to a $45 million legal settlement at the time. Its accumulated deficit stands at $400 million, its financial reports show. Less than 1% of the items it envisions connecting are connected today. 

To Diorio, that speaks to the potential. The company is barely scratching the surface. He cited the 1% stat in his comments before ringing the Nasdaq bell on Tuesday morning, saying the “opportunity is so gigantic that we’ll still have a huge runway ahead of us 10 years from now.”

That the company has gotten to this point is as much a Seattle story as it is a technology story. Impinj has benefitted from a network of patient local investors, academic connections and supporters who gave the company the time that Silicon Valley never would have. 

But no one imagined it would take this long when they got started.

From Caltech to Seattle 

The origins of Impinj were at Caltech in Pasadena, Calif., in the 1990s. Diorio was a graduate student working under Carver Mead, the physicist and engineer who helped coin the term Moore’s Law and helped lay the intellectual foundation for the modern semiconductor industry. 

Together, they discovered a way to change a transistor’s electrical properties after it had been manufactured — a quantum-mechanical phenomenon called “impact-ionized hot electron injection.” That made it possible to build chips so efficient and inexpensive that they could be embedded in disposable packaging. (“Impinj” is derived from that scientific name.)

In an oral history later recorded by the Science History Institute, Mead described Diorio as “a super-bright, super-high-energy guy” who “burned up the track” at Caltech.

After finishing his PhD, Diorio was recommended by Mead to the University of Washington’s computer science department. There was resistance among the UW faculty — his research in analog circuits wasn’t an obvious fit — but professor Larry Ruzzo carried the day. 

Ruzzo essentially said, “This guy is brilliant, and even if he is nothing other than our gift to the rest of the university, we should hire him,” recalled Ed Lazowska, the department chair at the time. 

Diorio joined the UW faculty in 1997. Over the next few years, his research earned a string of honors, including Packard and Sloan fellowships. A couple years later, Diorio met up with Mead on a trip to California, over dinner at Fresh Cream, a long-since-closed French restaurant in Monterey. Diorio asked Mead if it was time to start a company. 

“Are you up for it?” Mead asked. Diorio said yes. They started the paperwork the next day.

Impinj was incorporated in April 2000, headquartered in Seattle. It quickly got the attention of two local investment firms, with behind-the-scenes help from the everpresent Lazowska. 

On April 21, 2000, the UW computer science chair emailed Bob Nelsen at Arch Venture Partners and Tom Alberg at Madrona. He explained that he was urging Diorio and Mead “to get some local $ for the connections,” and that he had pointed them to Arch and Madrona. 

Patrick Ennis, then at Arch, reached out to Diorio that same day. As Ennis recalled in a recent interview, there were plenty of Silicon Valley firms that wanted in, thanks to Mead’s reputation, but Diorio and Mead decided to take Lazowska’s advice and go with Seattle investors. 

Diorio, who likes to take walking meetings, negotiated the terms with Ennis as they made their way on foot through the University of Washington Arboretum one day. The investment closed that summer: $15 million, split evenly between Arch and Madrona. 

Impinj at the time had patents, prototypes, and no real business plan. 

“That’s how venture capital should be done,” said Ennis, who has since become a Madrona venture partner. “You make big bets on great technology and great people.”

Betting the company on RFID

Bill Colleran joined Impinj as CEO in January 2001. He and Diorio had designed satellite chips together at defense contractor TRW in the 1980s. Colleran had just sold his Bluetooth startup, gotten married, and gone on his honeymoon. He came home to a message from Diorio: he’d started a company in Seattle and wanted Colleran to join. 

Colleran was soon in Seattle — one of six or eight people working out of what he warmly recalls as “a crappy little building” in the University District, several of them former TRW colleagues. 

“We were kind of getting the band back together,” he said. 

RFID wasn’t the original plan. Impinj’s first target was improving power efficiency for 3G wireless base stations, but the dot-com bust killed that market, and regardless, the company was too small to compete with the major chipmakers in the wireless industry.

The team spent two years exploring what to do with their technology. Cable modems required too much dependence on Intel, as Colleran recalled. Cell phone radios were dominated by players too big to compete against. GPS turned out to be a poor technical fit — Impinj’s chips excelled at low power, but GPS demanded low electrical noise, a different problem entirely. 

So they eventually settled on RFID, the technology that uses tiny wireless chips to identify and track physical objects. The industry was young, the standards were still being written, and Impinj’s low-power technology seemed tailor-made for it.

As Madrona’s Ennis and Tim Porter write in a piece pegged to the IPO anniversary, “When you have a truly powerful, groundbreaking deep technology, it behooves you to wander the product-market fit wilderness for a while, even when that is unsettling and downright frightening, and even when it runs contrary to what you learn in a VC class in business school.”

Then, a stroke of luck: In June 2003, Walmart announced it would require its top suppliers to tag every pallet and case with RFID chips. The Impinj team celebrated their good fortune. 

“We all high-fived,” Diorio recalled. “We did it. Eighteen months, we’re gonna IPO.”

In reality, it would be another 13 years.

Surviving the RFID hype cycle

Walmart’s announcement triggered a gold rush of venture capital investment into RFID technology startups. But there was no global spectrum allocated, no standard that worked, and no products ready to deliver on the promise. Walmart’s own January 2005 deadline came and went. Only half of its top suppliers could comply.

By 2008, the hype cycle had collapsed. Nearly every RFID startup died or got acquired. 

“More than $1 billion of VC money got poured into RFID,” Diorio recalled. “Way up, crashing down, and only one company that made it out the other side. … We were lucky enough that it was us.”

The real inflection didn’t come until around 2010, when retailers began tagging individual items, not just pallets. Knowing exactly which products were where, in real time, could lift same-store sales by as much as 10%, by solving a basic problem: getting items out of back rooms and onto shelves, making them available for purchase before customers gave up looking for them. 

Impinj filed to go public in April 2011, seeking to raise $100 million. But choppy markets — capped by the botched Facebook IPO in May 2012 — closed the window, and the company withdrew the filing that summer, raising $21 million privately instead.

After 14 years as CEO, Colleran stepped aside in 2014. 

“I didn’t know if I wanted to be a lifelong RFID guy,” he said. 

An exit wasn’t in sight — the IPO window was shut, and a sale didn’t make sense because Impinj made both chips and readers, and “any of the companies that would be interested in boxes weren’t chip companies, and the chip companies weren’t interested in boxes.”

Diorio took over as CEO that November. The venture investors were 14 years in and needed a path to liquidity. He spent the next two years sorting things out and getting the company ready.

The long road to IPO

Porter, now a Madrona managing director, who had worked closely with Alberg on the Impinj investment since 2007, recalled the final stretch. One of the first target dates for trading landed on the day Britain voted to leave the European Union, sending markets into a tailspin. 

“It was a little bit like, are you kidding — what next?” Porter said. 

But on July 21, 2016 — some 16 years after its founding — Impinj went public on the Nasdaq at $14 a share, raising $67 million at a market cap of just over $250 million. 

Alberg, the late, legendary investor, who was one of the first people to back Bezos’ fledgling online bookstore, personally invested $500,000 in the offering — a rare move among venture investors, who typically use IPOs to finally cash out, not double down. 

Porter called Alberg’s move “a really big signal” to the market that demonstrated his long-term belief in Impinj. It was also a smart investment, as it turned out. As noted during the Nasdaq bell-ringing Tuesday morning, Impinj’s share price has grown by nearly 900% since the IPO.

But there was one last hitch. On the night before trading began, the offering was so oversubscribed that the final allocation became a drawn-out negotiation between the board and the bankers over how many shares to issue. It dragged on so long that Diorio and CFO Evan Fein, stuck in Chicago for the roadshow, missed their flight to New York.

Fein had been one of the first people hired at Impinj, joining Colleran in the University District office in 2001 and staying through the whole ride. He was not about to miss the bell-ringing.

The CFO wanted to make a run for it, but Diorio told him there was no way — the flight departed in 30 minutes from O’Hare. Fein tried anyway. He didn’t make it. They stayed in Chicago overnight and caught a flight the next morning.

The company’s CTO at the time rang the bell in Diorio’s place. 

Trial by fire

The celebration was short-lived. After the IPO, demand for RFID surged — but Impinj, thinly capitalized after years of private fundraising, didn’t have the operational capacity to fill the orders. The stock quadrupled from its $14 IPO price to more than $60. Then it all came apart.

NXP Semiconductors, a Dutch chipmaker roughly 15 times Impinj’s size, moved aggressively on pricing and took business away. Customers who had been stockpiling RFID tags pulled back on orders. Revenue declined. On Feb. 2, 2018, the stock plunged 47% in a single day.

What followed was the darkest stretch in the company’s history. The company laid off 9% of its workforce. Then a former employee complaint triggered an audit committee investigation, forcing the company to miss an SEC filing deadline and drawing a deficiency notice from Nasdaq.

For months, the outcome was uncertain. Executives couldn’t trade their stock or issue grants to employees. The investigation cost $1.4 million. NXP, sensing an opportunity, continued to press its advantage.

Diorio described the investigation as mentally draining. The company was spending millions of dollars, the outside attorneys weren’t sharing their findings along the way, following the standard practice, and there was no way to know for certain how it would end. 

“You firmly believe you haven’t done anything wrong,” he said, “but who knows if somebody actually did something wrong that you don’t know about.” 

The investigation ultimately cleared the company, finding “no credible evidence” of wrongdoing, and Impinj received what Diorio called a rare letter from the SEC formally closing the matter. The stock surged 35% on the news.

Diorio called 2018 a turning point. “It was the year where everything got really difficult, the team and the company rallied, and it was the strength and the persistence of the team and their dedication that pulled us out the other side,” he said. “I’ll never forget that.”

The following year, Impinj went on offense. In June 2019, the company sued NXP, alleging it had copied 26 of Impinj’s patents. NXP countersued. The litigation stretched across five years and four lawsuits. In 2023, a federal jury found NXP had willfully infringed Impinj’s patents and awarded $18.5 million in damages. NXP settled in 2024, paying $45 million upfront and agreeing to ongoing royalties of roughly $17 million a year.

Where Impinj stands today

Diorio helped coin an industry term for the technology Impinj had built: RAIN RFID, short for “RAdio-frequency IdentificatioN.” It distinguished what Impinj does (using battery-free chips to identify and track individual items at scale) from other flavors of RFID used for key cards, animal tags, and contactless payments.

Today the company employs more than 450 people, most of them based in its headquarters at 400 Fairview Ave. N. in Seattle, with a test and development lab on Beacon Hill. The workforce is a fraction of NXP’s, which has more than 32,000 employees — a reminder that Impinj has built a market-leading position with a comparatively small team. 

Impinj holds an estimated 64% of the global market for RAIN RFID endpoint chips, up from 51% the year before, according to ABI Research. The company first overtook rival NXP for the market lead in 2024. The industry shipped nearly 53 billion chips in 2024, roughly one for every six or seven people on Earth. Impinj has connected more than 160 billion items cumulatively.

Each chip is battery-free, costs a few pennies, can be read wirelessly from 30 feet away, and identifies individual items at a rate of up to 1,000 per second. Vision systems can’t identify individual items. QR codes require line of sight. NFC has a range of four inches. Bluetooth requires a battery.

“Name any other technology that even gets close,” Diorio said. “You won’t come up with one.”

Privacy concerns nearly killed the RFID industry in its early years, when consumer groups campaigned against the technology in the mid-2000s. Although there’s privacy innovation still to come, Diorio said those fears have largely faded. The chips carry only a number, respond only when powered by an external reader, and don’t track people. 

One retailer already turns its tags invisible after the point of sale, though Diorio noted that’s “not the best solution because then that inhibits recycling.” 

His longer-term goal is cryptographic security, chips that can’t be cloned, putting “a dent in global counterfeiting” while keeping consumer data protected. 

Meanwhile, the competitive landscape is shifting. Diorio views NXP as the only real competitor — “everybody else in the market is a partner,” he said — but the competitor list in Impinj’s SEC filings has grown from two names at the time of the IPO to more than six, including four Chinese chipmakers. When a product costs pennies, low-cost competitors have a natural opening.

Retail apparel remains the core market. About 60% of all RAIN RFID tags go on clothing. But that reliance has made the business volatile. Three times in 10 years as a public company, demand from retailers has dropped sharply, dragging revenue and the stock with it. 

Earlier this year, Impinj’s stock plunged after the company issued guidance well below expectations. Part of the challenge: the company’s top three customers account for 61% of revenue.

The financial picture reflects a company that is still proving itself. Revenue has grown from $123 million in 2018 to $361 million last year, but Impinj has posted just one profitable year since going public — a $41 million gain in 2024, boosted by the NXP settlement.

To Diorio, all of this is prelude. Apparel, he said, is “tiny” compared to the total market of every item manufactured, transported, and sold. General merchandise, supply chain logistics, pharmaceuticals, food — each is an order of magnitude larger, or more.

“We have a gigantic blue ocean,” he said. “It’s the size of the Pacific.”

Machine learning and AI

The company is also using machine learning to move beyond handheld inventory scanning. Fixed readers mounted in ceiling tiles and other locations can track items autonomously at store choke points, from receiving docks to fitting rooms to exits, replacing employees who currently walk the aisles waving handheld scanners. 

More broadly, Diorio sees tagged items as a data source for AI, generating hard information at every point in a product’s journey from factory to shelf to recycling bin. 

“Most of the modeling that goes on today is based on guessing,” he said. “If the models are based on hard data, it’s immensely more valuable.” 

The biggest bet ahead is food. Three of the top five U.S. grocers (Kroger, Walmart, and Albertsons/Safeway) are piloting RFID for food freshness, according to Diorio, using tags to identify items approaching their expiration dates so they can be marked down before they end up in the trash. 

A European grocer is pushing toward fully automated checkout, where a basket of tagged items moves down a conveyor and is read instantly, no scanning required.

These are pilots, not deployments. The grocery market dwarfs apparel in volume, and Impinj has yet to prove it can crack it at scale. But here again, Diorio sees this as untapped potential. 

“My enthusiasm is as high as it’s ever been,” he said. “We are just getting going.”

And this time, he made it to New York to ring the opening bell. 

During his Nasdaq remarks on Tuesday morning, Diorio told the story of getting stuck in Chicago for the IPO a decade ago, using the anecdote to make a larger point.

“The team stepped in,” he said. “The team that was here covered everything, rang the bell, did all the process, and did it beautifully. In fact, probably better than we could have. And that is the story of Impinj. It’s the team.”

Editor’s note: This story was updated July 23, 2026, to reflect ABI Research’s 2025 market share estimate of 64% for Impinj, up from 51% in 2024 as originally reported. The spelling of former CFO Evan Fein’s name was also corrected.

Jimothy isn’t just a viral internet sensation — he’s a cause for good.

A painting of the beloved raccoon by Seattle artist Ryan Henry Ward attracted a winning bid of $6,543.21 in an informal Instagram auction this weekend, with all proceeds directed to the Ballard Food Bank.

The winning bidder for the 24-by-24-inch painting was identified by Ward as Angela Galdabini, who posted a picture of the painting hanging on her wall.

Now the auction gift is going viral in its own way, attracting a matching donation from Amazon, which encouraged other Seattle-area companies to follow suit. According to the tech giant on Monday, T-Mobile, Alaska Air and Brooks have all gotten on board.

“When we saw a local artist giving back to the Ballard Food Bank, inspired by a little raccoon that’s brought so much joy, we wanted to help,” Kara Hurst, Amazon’s chief sustainability officer, said in a statement. “Amazon is proud to match the winning bid, and we’re calling on other Seattle-based companies to join us.”

Update: On Tuesday, Microsoft let us know that they, too, had committed funds to the food bank.

Update: According to Amazon on Thursday, the Seattle Mariners, the Seattle Kraken, Starbucks, and Stanley 1913 have also joined in with matching gifts, bringing the total additional donation to $58,888.89.

Jimothy seemed destined to be captured by Ward, a prolific muralist whose colorful, whimsical work is seen across the Seattle region on buildings, fences, garage doors and elsewhere. His art frequently features a variety of animals and other characters, including Sasquatch.

Ward called Jimothy “the hero we needed” in his Instagram post on Saturday, and said he was giving to Ballard Food Bank because the organization helped him through some of his hardest times.

The viral Jimothy sensation took off last week when the raccoon was spotted in Ballard and a video attracted millions of views on Instagram. The craze spread around the world and other videos have emerged online, sparking immense curiosity and adoration, and a flood of memes, artwork, food, crafts, poetry, songs and more. 

Rudra “Rudy” Mitra, who spent more than 27 years at Microsoft and most recently led its Purview data-security business, is joining Amazon Web Services as vice president of security services.

Mitra will oversee an AWS portfolio that includes tools such as GuardDuty and Security Hub, which companies use to track security risks across their cloud accounts. AWS recently added AI-specific threat detection to GuardDuty and, perhaps notably given today’s news, extended Security Hub to monitor AI workloads and security inside Microsoft Azure. 

He will report to Chet Kapoor, the former DataStax CEO whom AWS hired last year as vice president of search, security and observability, a role that reports to AWS CEO Matt Garman.

“Rudy brings decades of security experience, a passion for building, and a deep understanding of what customers need as the security landscape continues to evolve,” Kapoor wrote on LinkedIn. 

Mitra joined Microsoft in 1999 straight out of college, working on early efforts to deliver Office as an online service before launching Purview, the company’s data-security and governance product, in 2014. He announced his exit from Microsoft last week, addressing what was next at the time by saying only that there was “more on that soon.”

His departure comes amid a broader reshuffling of Microsoft’s security leadership this year under Hayete Gallot, who returned from Google in February to run the group and has been reshaping its executive ranks in recent weeks and months.

Gallot replaced Charlie Bell, who had joined from AWS in 2021 and continues at Microsoft as an individual contributor focused on engineering quality. She’s been overhauling the group’s product lineup, according to The Information, which reported last week that at least nine corporate vice presidents who reported to Bell have left the company this year.

Rohan Kumar left for Salesforce in June, Vasu Jakkal stepped down after six years. Krishna Kumar Parthasarathy departed this month after 28 years. Joy Chik, president of identity and network access, announced her retirement in April.

On the inbound side at Microsoft, Naseem Tuffaha returned in June to fill the corporate VP role Kumar had left, after nearly two decades at the company and a stint away.

When Gallot arrived, Microsoft named Ales Holecek, a longtime engineering leader, as the security group’s chief architect, reporting to her. David Weston, another veteran Microsoft executive, also reportedly shifted into the security unit earlier this year.

Fresh off a $2 billion fundraising and $900 million line of credit, London-based data center startup Nscale is planning a big expansion at a new engineering office in Bellevue, Wash.

Nscale, one of the fastest-growing companies building AI computing infrastructure, recently inked a deal for nearly 24,000 square feet of space at The Eight office tower in downtown Bellevue.

The office is slated to open in January 2027. It will serve as Nscale’s primary engineering hub in the United States, a company spokesperson said. The company currently employs about 50 people in the Seattle area, and the new office will be able to accommodate up to 250 people.

The company earlier this year hired Nidhi Chappell, the former Microsoft corporate vice president who led Azure AI and high-performance computing infrastructure, including the supercomputers that power ChatGPT. As Nscale’s new president of AI infrastructure, based in the Seattle area, Chappell will oversee the company’s global engineering and data center operations.

“I’ve had a front-row seat to some of the biggest moments in AI over the past several years, but one thing has always stood out: the world remembers the breakthroughs, but it’s the people building the infrastructure behind the scenes who make them possible,” Chappell wrote in a LinkedIn post last week announcing the company’s first “onboarding” event in Seattle.

Nscale, which is also preparing to open an office in New York, said it selected Bellevue because of the Seattle region’s concentration of AI infrastructure talent and its proximity to major customers.

Microsoft is one example. Earlier this year, the companies announced an expanded collaboration to deploy Microsoft’s next-generation AI infrastructure across Europe, including large-scale installations of NVIDIA Vera Rubin GPUs in Norway, Portugal and other locations. Nscale said it would be among the first providers outside of Microsoft to deploy the Vera Rubin platform, supporting Microsoft’s growing AI cloud infrastructure.

The new office is the latest sign of Bellevue’s growing role in the AI economy. The Eastside has become a magnet for companies building AI applications and infrastructure, with xAI, OpenAI, Databricks, CoreWeave, Armada, Anduril and others establishing and expanding offices.

AI companies have been giving a boost to the regional office market overall. Claude maker Anthropic, for example, recently announced an expansion of its offices in Dexter Yard in Seattle.

Nscale was founded in 2024. Its $2 billion funding round earlier this year valued the company at $14.6 billion, believed to be the largest Series C financing ever raised by a European technology company. The capital is being used to expand Nscale’s AI cloud platform, GPU infrastructure and data center footprint across North America and Europe.

Its backers include Astra Capital Management, Citadel, Dell, Jane Street, Lenovo, Linden Advisors, Nokia, NVIDIA and Point72.

News of the Nscale office in Bellevue was first reported by the Puget Sound Business Journal.

Anand Subbaraman is departing as CEO of Icertis, the Bellevue, Wash.-based contract management software company said Friday. Chief Financial Officer Rajat Bahri and longtime executive and Icertis board member Jim Moffatt will serve as interim co-CEOs as Icertis searches for its next CEO.

Subbaraman took the helm in August 2025 when Icertis co-founder Samir Bodas stepped down. Bodas had been the company’s only CEO since launching the business in 2009. Bodas shared at the time that he was resigning due to a health concern, and passed away in January after a battle with cancer. 

Subbaraman, who joined Icertis in 2024 as chief operating officer, will serve as an advisor during the leadership transition. No reason was provided for his exit. We’ve asked the company for further details.

“We are grateful for Anand’s service and his work to expand the company’s AI capabilities and scale operations,” Moffatt said in a statement. “As our Board conducts its search for the next CEO, Rajat and I will ensure we do not miss a beat during this important time for our company.”

Founded in 2009, Icertis has raised more than $500 million and was valued at $5 billion four years ago. Its investors include SoftBank’s Vision Fund, SAP and PSP Partners, the firm chaired by lead independent director Penny Pritzker.

Bloomberg reported in February that Icertis was working with Goldman Sachs to explore a potential sale that could value the company at as much as $5 billion, citing people familiar with the matter. Buyout firms had shown preliminary interest, and no final decision had been reached, according to the report.

The company said Friday that Bahri will hold dual roles as interim co-CEO and CFO. He joined Icertis in 2022 and previously served as CFO at several companies, including ID.me; Wish, where he helped lead the company’s IPO; and Jasper Technologies.

Moffatt has served on the Icertis board since 2022, after previously serving on its advisory board, and is a member of the board’s audit and compensation committees. He has also been appointed chair of the board, in addition to his interim leadership role. Moffatt spent more than 35 years at Deloitte, leaving the company as vice chairman and global CEO of Deloitte Consulting. He is now president of JSM Advisors.

The Seattle Sounders paused before Thursday night’s rivalry match against the Portland Timbers to honor one of their own.

Before the match at Lumen Field, the club paid tribute to S. “Soma” Somasegar, the longtime Microsoft executive, Madrona venture capitalist and Sounders minority owner who died in May at age 59. Fans stood in silence as Somasegar’s image appeared on the stadium video boards.

Somasegar joined the Sounders ownership group in 2019, part of a wave of Seattle tech leaders — including Microsoft CEO Satya Nadella — who bought in that year.

After his death, the club said Somasegar viewed sports as a way to bring people together, and credited him and his wife, Akila, with strengthening the Sounders and Seattle Reign communities.

GeekWire chronicled the outpouring of tributes after Somasegar’s death, as colleagues, founders and friends remembered the former Microsoft executive and venture capitalist for his humility, generosity and commitment to helping others succeed.

During his 27 years at Microsoft, he helped lead the company’s developer tools business before spending more than a decade at Madrona, where he backed and advised a new generation of cloud and AI startups.

The past two years have transformed the world of software development, but there’s at least one area that remains largely untouched by artificial intelligence: the operating-system layer inside phones, vehicles, and other connected devices. 

A Seattle startup called logcat.ai has raised $2.55 million to change that.

Co-founded by CEO Varun Chitre and CTO Tarun Vashisth, two engineers with years of experience building device software, logcat.ai is developing a system of AI agents that autonomously hunt down bugs across the kernel, modem, and firmware of devices running Android or Linux.

The pre-seed round was led by Founders’ Co-op, with participation from Act One Ventures, TheFounderVC, Shorewind Capital, Clayoquot Capital, and Alumni Ventures. 

“It’s one of the toughest areas of software engineering, and it doesn’t get a lot of exposure. Operating-system engineering is virtually hidden today,” Chitre said in an interview.

It’s also a challenge for many companies given a shortage of engineers who specialize in the field, compared to the much larger population of developers who build apps and software that run on top of the operating system.

How it works: An engineer using logcat.ai uploads the log files a device generates when something goes wrong — such as bug reports and kernel logs — and logcat.ai’s software analyzes them together to find the root cause and point to where in the code to fix it. Each finding cites the exact log line it came from, so an engineer can check the work.

Currently, logcat.ai finds the root cause and recommends a fix. The larger plan is to have the AI write the fixes, test them, and eventually build new features on its own, with engineers approving the work before it’s deployed.

The long-term goal, Chitre said, is to become the standard tool for building and maintaining operating systems on new and existing hardware — from smartphones to cars to robots and other embedded systems — so a company can ship without a full-stack specialist on staff.

“We’re moving toward a world where software and intelligence extend far beyond our laptops and phones, yet the tooling to build high-quality products for that world is still missing,” said Aviel Ginzburg, general partner at Founders’ Co-op, in a statement.

He called Chitre and Vashisth “one of the only teams in the world truly up for the challenge.”

Traction: The company says it has served hundreds of engineering teams in a public beta, analyzed more than 10 billion lines of trace data, and run thousands of automated investigations. It’s generating revenue but isn’t ready to disclose numbers or customers. 

Competitive landscape: Chitre said logcat.ai’s main competition isn’t another product but in-house scripts and the knowledge locked in a few senior engineers’ heads. App-level crash tools like Google’s Crashlytics and Sentry stop at the app layer and don’t do the deeper system debugging.

Specialist vendors and the contract manufacturers that build devices are potential partners more than rivals, Chitre said, since they face the same engineer shortage.

GeekWire first reported on logcat.ai in March, in a Startup Radar roundup.

The team: Chitre and Vashisth met at Esper, the Bellevue, Wash.-based device-management company, where they worked together for more than seven years. They started logcat.ai because they had spent years doing debugging by hand and knew what was missing.

Chitre has spent more than 13 years in the field, getting operating systems to boot and run on new hardware and porting new Android releases and Linux kernels onto older devices. He was also a maintainer of LineageOS, a widely used open-source version of Android. 

Vashisth has led engineering teams working across Android, Linux, and iOS, and brings a background in large-scale distributed systems. At Esper, he rose to senior software engineering manager. His prior experience includes platform-architecture engineering at Target.

For now, the company is just the two founders: Chitre in the Seattle area, Vashisth in Bengaluru, India. They plan to hire about 10 people over the next year, with a distributed team working remotely from wherever they can find the specialized talent.

They know those hires won’t be easy to find, given the scarcity of people in the field. “That’s the same shortage our product exists to address,” Chitre said, “and we’re not exempt from it.” 

[Update, Friday, July 17: Brown is joining Meta, the WSJ reported. More here.]

Dave Brown, who joined Amazon Web Services as one of its earliest EC2 engineers and rose to lead its compute, AI and machine learning services, is leaving after nearly 19 years. 

AWS CEO Matt Garman told employees in a memo posted publicly Wednesday that Brown will depart at the end of July for an unspecified “new role outside of the company.” Amazon exec Dave Treadwell, who joined the company in 2016 after 27 years at Microsoft, will take over the group Aug. 1.

Brown’s exit comes about three months after Amazon promoted him to senior vice president. Brown had been on the company’s senior leadership team since 2023.

His tenure stretched back to the early days of the cloud. He joined AWS in 2007 in Cape Town, South Africa, where Amazon based part of its early EC2 engineering, before relocating to the Seattle area.

In an interview with GeekWire earlier this year, as the company marked the AWS 20th anniversary, Brown recalled Amazon CEO Andy Jassy, then the company’s top cloud executive, gathering the small Cape Town team in those days and telling them the business could one day be worth a billion dollars.

Brown said he could barely grasp the figure at a time when the service was bringing in tens of dollars a day: “I couldn’t even imagine how much a billion dollars was. It sounded like a lot of money.”

AWS today runs at roughly $150 billion in annualized revenue, and grew 28% in its most recent quarter — its fastest pace in nearly four years.

Brown’s role grew with the business. After starting as an engineer on EC2, or Elastic Compute Cloud, he went on to lead its broader compute organization, including close collaborations with the executives running Amazon’s custom silicon business. His purview also expanded to include the machine learning and AI services now central to AWS, such as the Bedrock and SageMaker platforms.

Treadwell has run Amazon’s eCommerce Foundation, the technical backbone of the company’s online retail operations, since joining in 2016. Before that he spent 27 years at Microsoft, where as a corporate vice president he worked on Windows, Xbox, and the .NET software framework.

In his memo, Garman described Treadwell — known internally as “Tread” — as one of AWS’s largest and most vocal internal customers, someone who pushed the cloud group to innovate and will now lead it.

Brown will remain through the end of July to help with the transition. In his own farewell note, he said it felt like the right time to begin a new chapter. “I’ll be cheering you all on from the sidelines,” he wrote.

JPMorgan Chase is building out a new AI software infrastructure team, anchored in Seattle, focused on running AI across its data centers and outside providers in a way that controls costs, protects its intellectual property, and avoids tying its fortunes to any one vendor.

Lori Beer, the bank’s global CIO, discussed the effort as part of a broader interview Tuesday during a stop in Seattle. She said the bank is being “careful about lock-in, strategic risk, financial risk, all those things.”

The move comes as business and tech leaders — including Microsoft CEO Satya Nadella and Palantir CEO Alex Karp — publicly warn about the risks of letting a small number of AI vendors accumulate control over costs, data, and the choice of which AI tools businesses can use.

Beer described the new group as an AI infrastructure team but said it works at the software level, separate from JPMorgan groups that build data centers or procure hardware.

She said the group will, for example, develop systems to determine when to route different types of AI workloads to JPMorgan’s own data centers, when to tap into public cloud providers, and when to use newer specialty computing suppliers.

AI agents are one example of where the bank is drawing a line.

Beer said JPMorgan will build and own the software that runs its agents, while treating the underlying AI models as interchangeable. The agentic layer is specific to JPMorgan’s business, whereas the underlying models are general-purpose, and JPMorgan wants to be able to switch among them as the market changes. 

Cost is another focus. Given the option, Beer said, engineers naturally reach for the newest and most powerful model, even when a cheaper one works as well. Systems built by the new team will route specific workloads to different types of models.

The new AI infrastructure team will be spread across multiple JPMorgan locations, but Beer said the Seattle area offers a high concentration of the required skills, including engineers who built cloud infrastructure at Amazon, Microsoft, and other tech platforms before joining JPMorgan. 

It’s part of a broader focus on AI at JPMorgan’s Seattle Tech Center, which has grown to about 400 people since opening in 2018, with a heavy emphasis on cybersecurity.

JPMorgan said this week that it has named Ture Armas, the bank’s CTO for Commercial Bank Lending Technology, to lead the Seattle Tech Center. Armas will continue in his existing role while adding oversight of the tech center’s strategy, talent, and community engagement. He replaces Mamtha Banerjee, who left in March.

The Seattle Tech Center is preparing to move next month into an expanded space at the JPMorganChase Center, the skyscraper that was renamed from the Russell Investments Center in January. The tech center is currently located in a smaller space in a nearby building. The move will put engineers closer to business teams, which Beer called critical as AI accelerates the pace of product development.

Beer, who started her career as a software engineer at a nuclear facility, joined JPMorgan in 2014 from health insurer WellPoint. In 2017, she became the first CIO to sit on the bank’s Operating Committee. She oversees a technology division of about 70,000 people, including 45,000 engineers, with a $20 billion annual budget. 

JPMorgan reported record second-quarter results Tuesday morning, topping Wall Street expectations. On the earnings call, CEO Jamie Dimon said the bank has almost 1,000 AI use cases across the business, with about 50 he described as the most important, in areas including risk, fraud, marketing, note-taking, and document reading.

In what turned out to be a preview of Beer’s comments later in the day, CFO Jeremy Barnum described the bank’s AI priorities: “Use the right model for the right purpose, be smart about open source where appropriate, and ensure that you’re getting value out of it ultimately.” 

Sunny Gupta has led two prior enterprise tech companies with backing from venture capital firm Madrona in the past 20 years. iConclude sold to Opsware. Apptio sold to Vista Equity Partners, then to IBM for $4.6 billion.

Now they’re getting the band back together for the AI era. Madrona’s Matt McIlwain is calling it the biggest opportunity “by far.”

Gupta is launching Thira, a Bellevue, Wash.-based enterprise AI startup, with Apptio co-founder Kurt Shintaffer, and leaders from companies such as Atlassian, Oracle, and Databricks. Thira announced Tuesday that it raised $21 million in seed funding led by Madrona, with participation from FUSE.

The idea: Thira is building AI to handle the behind-the-scenes tasks that keep big companies running, like setting up a new hire’s laptop, resetting a locked account, or approving a software purchase. The pitch is to enable a “back-office that runs itself,” according to the company.

It’s starting with IT support. The company is building software agents that can take an IT ticket, work it across the systems where the actual fixes happen — such as ServiceNow, Jira Service Management, Freshservice, and the identity and device-management tools that connect them — and close it out.

Finance and HR systems are also on the roadmap. Thira’s job listings describe agents built to “autonomously run the back-office work that consumes companies today, across IT, finance, HR, and beyond.”

Thira is entering a crowded market. ServiceNow closed its $2.85 billion acquisition of Moveworks last December to build autonomous IT ticket resolution into its service management platform. Startups including Aisera, Rezolve.ai, and Serval are pursuing similar territory.

Part of Thira’s bet is that Gupta and Shintaffer’s relationships with CIOs, which they built over many years at Apptio, will help to give it a foot in the door. Thira says it’s working with 10 companies as design partners ahead of a broader launch this fall.

In many ways, it’s a step beyond Apptio, which helps CIOs see where their companies spend money on technology. Thira is aiming to go past visibility to the “system of execution,” actually doing the work.

In a post on LinkedIn, Gupta said he began hearing from CIOs during Apptio tenure who wanted not only visibility into spending but also the ability to act on inefficiencies and automate work.

“In early 2026, I asked more than twenty CIO friends a simple question: has enough changed that what they’ve been asking for is finally buildable? The answer was yes, and bigger than I expected,” he wrote.

Thira’s team also includes:

• Mudit Goel, previously SVP of engineering at Atlassian;
• Grant Neuman, who was an AI engineer at Oracle Cloud Infrastructure;
• Tarek Madkour, previously director of product management at Databricks;
• and Shashwat Srivastav, previously founder and CEO at AIVOT.

Gupta has been Smartsheet’s executive chair since August 2025, when longtime CEO Mark Mader retired. He also served as acting CEO until Raj Singh was named CEO in October 2025. Shintaffer was Smartsheet’s CFO from July 2025 to May 2026.

McIlwain, the Madrona managing director, is joining Thira’s board of directors. FUSE founding partner Kellan Carter is a board observer.

In a statement, McIlwain said the founding team pairs Gupta and Shintaffer’s two decades of enterprise credibility at Apptio with what he calls “AI-native innovators.” He added, “This is my third time starting and building a company with Sunny and it is by far the largest opportunity we have pursued together.”

— Rina Hahn has left Seattle’s Remitly as chief marketing officer. Hahn joined the remittance company in 2018 as director of digital marketing and rose to CMO after four years. Before joining Remitly, she was an executive at Blue Nile and Big Fish Games.

The publicly traded company helps customers in more than 170 countries send money internationally.

“I’ve seen firsthand the deep love this company has for its customers and the impact that purpose-driven work can have on immigrants and their families around the world,” she said on LinkedIn. Hahn, who is based in London, did not share her next move. Remitly co-founder Matt Oppenheimer stepped down as CEO in February.

— Temporal announced that Preeti Somal has been promoted to executive vice president in a role that will oversee the company’s engineering, product and design operations, which were recently reorganized under a single leader.

The industry is moving so fast that “we can’t afford any distance between the people who decide what to build and the people who build it. Unifying these functions closes that loop,” said CEO Samar Abbas on LinkedIn.

Somal has been with Temporal for three years, joining from HashiCorp where she held EVP roles.

The Seattle-area software company offers a platform for running complex computer workflows more reliably. In February, the business closed a $300 million round that pushed its valuation to $5 billion. Temporal is No. 2 on the GeekWire 200 is a ranked index of the Pacific Northwest’s top startups.

— Veeam Software, a Seattle-based data protection and ransomware recovery company, appointed Michelle Graff as senior vice president of global partners and channel. She joins from the cybersecurity company Commvault and is based in the San Francisco Bay Area.

“The future belongs to organizations that can transform trusted data into trusted AI with resilience built in from the start,” Graff said on LinkedIn.

Graff’s hiring is the latest in a string of leadership changes at Veeam, which has made five other executive hires or promotions this year.

— Qualtrics, an experience management technology company with headquarters in Seattle and Provo, Utah, has promoted Ken Hoang to senior vice president of product. Hoang is based in San Mateo, Calif., and will work remotely. He was previously a VP at Apptio in Bellevue, Wash.

Qualtrics had a big leadership shakeup in April, when five executives were let go in what CEO Jason Maynard described as an effort to “simplify our structure and ensure we are positioned for our next phase of growth.” Two product executives were among those who left, and Hoang joined the company around that time.

Qualtrics, which employs more than 4,500 people globally, makes software that helps companies gather and act on feedback from customers, employees and others through surveys, AI-powered analytics and other tools.

— Monica Lazo is now the sales director for Loopr AI, a Seattle startup that sells computer vision quality control software to manufacturing firms. She joins from Neurala, an AI platform automating visual inspections that is based in Boston.

— Pacific Northwest National Laboratory has named atmospheric scientist Larry Berg as the director of the Department of Energy’s Atmospheric Radiation Measurement User Facility.

And some departures from Big Tech:

• Mary Birkner is retiring from Microsoft after 21 years, primarily in leadership with Xbox. “I thank you for the laughter and goodness that were part of the journey to all the big work stuff,” she said on LinkedIn.
• Steve Andrews has closed out a 32-year career that included more than 11 years across two stints at Amazon, most recently as senior principal technical program manager. The TPM role “is often misunderstood and misused, so I dedicated a substantial amount of effort helping to set TPMs, their managers, and their teams up for success across the company,” he said. “I hope it made a difference.”
• Jeff Nienaber is departing Microsoft after more than 16 years, leaving the role of senior director and principal PM for the office of the CTO. “I’m really excited to see what tomorrow’s sunrise has in store,” Nienaber said.

Echodyne, the Seattle-area radar-platform company, cut the ribbon Wednesday on a new $40 million manufacturing facility designed to meet growing demand for its drone-detection and airspace-monitoring systems.

Headquartered in Kirkland, Wash., Echodyne is opening an 86,350-square-foot manufacturing and operations hub in nearby Woodinville, Wash., that it says will eventually be able to produce more than 2,500 radars each month — or roughly 30,000 radars annually.

Echodyne says the expansion is fueled by U.S. and global demand for safety and security radars that can detect and track drones, driven in part by their proliferation on the battlefield in the Russia-Ukraine War and the fast-growing “low altitude economy” of commercial drone operations that require airspace monitoring.

Echodyne currently employs 260 people, and the new facility will support more than 100 new jobs and up to 200 as the facility reaches full production capacity, according to the company.

“Our global customer base is demanding more radar to be delivered as fast as possible,” CEO Eben Frankenberg said in a news release, adding that the proliferation of drones requires reliable, at-scale production. “The only way to defend against mass is with mass.”

Echodyne was spun out of Bellevue-based Intellectual Ventures in 2014 and has drawn backing from Microsoft co-founder Bill Gates, along with NEA, Madrona Venture Group, Baillie Gifford and Northrop Grumman, among others. The company raised $135 million in a 2022 investment round and total funding is $200 million.

The company’s radar systems rely on patented “metamaterials” technology — a flat-panel antenna that can electronically steer its beam without any moving parts — which Echodyne says allows for smaller, cheaper radar than conventional designs.

Echodyne originally focused on using compact radar to help drones detect and avoid obstacles in flight, before pivoting toward counter-drone security as demand grew for systems that could track other drones — including cheap, mass-produced ones deployed on the battlefield in Ukraine.

Echodyne’s radar technology is integrated into systems from Anduril, Axon, Moog and Northrop Grumman, among other defense companies, the company said. Most recently, Echodyne was selected as the primary radar provider for Trust Automation’s drone-detection platform, which is being delivered to the U.S. Air Force under a $490 million contract.

Wednesday’s ribbon cutting was attended by Sen. Maria Cantwell, U.S. Rep. Suzan DelBene, Woodinville Mayor Sarah Arndt, and Michael Robbins, president and CEO of AUVSI, the trade association for the uncrewed systems, autonomy, and robotics industry.

The new hub allocates approximately 74,350 square feet to manufacturing space and 12,000 square feet to warehousing.

While investors spent much of the spring concerned that frontier AI models from companies like Anthropic and OpenAI would consume the software industry, Dave Clark was closing a funding round for exactly the kind of enterprise software those models are supposedly going to replace.

Auger, the supply chain technology startup founded in Bellevue, Wash., by the former Amazon executive, has raised $50 million in Series B funding led by Eclipse, with existing investor Oak HC/FT also participating in the new round.

The round brings total funding to $150 million for the company, which has grown to about 130 employees and counts Meta’s virtual and augmented reality division, sports merchandise giant Fanatics, and consumer products maker Kimberly-Clark among its customers.

Clark’s view is that general-purpose AI can generate insights but can’t handle deeply specialized domains like running a supply chain. Making financial and operational decisions and executing them at the scale of big companies requires systems built on strong supply chain expertise — what Auger calls its ontology, essentially a detailed map of how supply chains actually work.

“Many a pure technology company died on the hill of supply chain over the last decade,” said Clark, the company’s CEO, in an interview this week. “You really need to understand the complexity and the contextual requirements.”

Auger sits on top of a company’s existing systems — ERP, warehouse management, transportation management, and demand planning tools — and unifies the data into a single operating layer. Rather than replacing those systems, it connects them, using AI agents and traditional optimization models to make decisions and execute them automatically, as much as possible.

For example, in a recent demo at the company’s Bellevue office, Clark showed how the system would handle a supplier missing a delivery commitment when there isn’t enough product to go around. Auger identifies the shortfall, determines which customers get priority, reallocates inventory, and pushes the updated plan back to the company’s existing systems.

Most supply chain software, Clark said, generates alerts and waits for a person to act. Auger is designed to make routine decisions on its own and flag the exceptions for human review.

“We’re not really a tool,” he said. “We’re really the new employee.”

At Fanatics, the sports merchandise company, Clark said about 85% of decisions in the process Auger manages are happening autonomously, with a goal of reaching the mid-90s soon. In addition to the customers it has named so far, Clark said another eight to 10 companies are in contract negotiations or pilot programs.

Clark spent 23 years at Amazon, rising to lead the company’s worldwide operations and later its worldwide consumer business. He left in 2022 and became CEO of Flexport, the freight forwarding startup, but that tenure lasted less than a year amid a turbulent period for the company.

He launched Auger in 2024 with a team that includes Leigh Anne Clark, his wife, who serves as co-founder and president of the company’s fashion and beauty division, focused on an industry Clark describes as one of the most wasteful supply chains outside of groceries.

Clark moved back to the Seattle area from Texas to tap the region’s talent pool, and raised a $100 million Series A from Oak HC/FT. The company quickly assembled a C-suite drawn heavily from Amazon’s senior ranks, along with leaders from Johnson & Johnson, Microsoft, and Salesforce, spanning supply chain operations, AI, data science, and product development.

In March, Auger was named a premier supply chain partner on Microsoft Fabric, the tech giant’s data platform. Auger’s product is built on Azure, and Microsoft sales reps can earn commission on Auger deals. Clark said the partnership has generated engagement but is still early.

Clark said Auger went out for the Series B early, before the company needed it, to avoid the distraction of fundraising during what he expects to be a busy fall of customer onboarding.

With the investment, Eclipse partner Jiten Behl joined the Auger board, which also includes Clark, president and CFO Alex Ceballos, and Oak HC/FT’s Matt Streisfeld.

Auger hasn’t disclosed revenue or other financial metrics, but Clark said the valuation was roughly double the level set by Auger’s initial round. “We didn’t shoot for the crazy astronomical valuation,” he said. “We sat at a place that we felt really comfortable with.”

That pragmatic approach extends to how Auger operates. In Bellevue, the company works out of an office it subleased after Microsoft vacated the space. Auger kept the desks, monitors, and chairs the tech giant left behind, furnishing its new offices for next to nothing.

But Clark’s ambitions for the company are anything but modest. He said Auger’s goal is to have half of U.S. GDP flowing through its platform by 2030, with revenue exceeding $1 billion.

“That requires a pretty steep curve to get there,” he said. “We’re not playing small.”

T-Mobile’s longest-tenured Un-carrier architect just Un-carriered himself. 

Mike Katz, who started selling VoiceStream phones at Circuit City 28 years ago and rose to help T-Mobile go from an also-ran into the wireless industry’s most formidable competitor, is leaving the Bellevue, Wash.-based carrier as part of a broader executive reshuffling under CEO Srini Gopalan, who took the helm in November. 

Katz, T-Mobile’s chief business and product officer, is stepping away to pursue “new professional interests,” the company said in a press release and SEC filing. The company didn’t provide specifics. We’ve contacted Katz for more on his plans. 

He’ll remain as a strategic advisor through December 2026. 

His responsibilities are being split three ways: 

• Chris Sambar, a wireless industry veteran who spent two decades at rival AT&T and most recently served as COO of Public Storage, will join as chief enterprise officer no later than Oct. 14, overseeing T-Mobile’s SMB, enterprise and government businesses. 
• André Almeida is moving into an expanded role as chief marketing, brand and broadband officer. 
• CTO John Saw‘s purview will grow to include product engineering and cybersecurity. 

Katz was named last month to Gov. Bob Ferguson’s newly created Economic Development Council, a 26-member panel of business, labor, and tribal leaders. His status on the council following his departure from T-Mobile is unclear. 

Over his career at T-Mobile, Katz led the company’s business group, where he helped triple the customer base, and later oversaw marketing, strategy and products, shaping some of the carrier’s most recognizable brand moves: T-Mobile Tuesdays, Magenta Status, and others.

“We built a regional player into a national powerhouse, flipped the industry on its head with the Un-carrier movement, pulled off the Sprint merger, and pushed into broadband and enterprise,” Katz said in a LinkedIn post announcing his departure.

Gopalan praised Katz in the press release, calling him “a driving force of so many of the bold moves that have transformed our company and our industry.”

Sambar’s hiring is a notable move for T-Mobile, which built its Un-carrier brand in part by positioning itself as the scrappy alternative to industry giants AT&T and Verizon. At AT&T, Sambar led the buildout of the company’s 5G mobile network and oversaw the design and deployment of FirstNet, the nationwide public safety communications network. 

A U.S. Naval Academy graduate who served more than 20 years in the Navy, Sambar will report directly to Gopalan and lead T-Mobile’s push into enterprise, government, and emerging growth areas including T-Ads and physical AI.

Seattle startup Optimly, which helps brands manage what AI understands and says about them, went into the Flywheel Investment Conference in Wenatchee, Wash., in May as a last-minute entrant, and walked out with a triple crown.

The company won a $150,000 investment, a $50,000 relocation offer contingent on moving to the region, and a $5,000 fan-favorite prize. Founder and CEO Apurva Luty, who’d strolled to the event from her hotel, expecting nothing, ended up with too many giant ceremonial checks to carry back on her own.

This unexpected sweep came from a solution to a problem that’s suddenly becoming urgent for many brands. Optimly builds a public index where brands can claim and correct the information that AI chatbots use to describe them — then measures whether it actually works.

The $150,000 investment from Flywheel Angel Network became part of a broader $800,000 pre-seed round that Optimly closed just recently. Also participating in the round were Mighty Capital and AI House, the Seattle startup incubator formerly known as AI2 Incubator.

“The funny thing about winning at Flywheel is that it got us noticed by Seattle investors,” Luty explained. So even though she has decided to work out of AI House on Seattle’s Pier 70, passing up the relocation prize, the Wenatchee group gets a stake and an assist. 

The problem: Optimly addresses a phenomenon that increasingly unsettles marketers: AI models generally don’t learn about a brand from its own website. They read everything else — Wikipedia, Reddit, online reviews, analyst write-ups — and synthesize it into the response each chatbot gives shoppers when they ask about a company, or its product or service.

“Shoppers used to Google — now they ask AI,” Luty said during her presentation at a separate event in June, the Technology Alliance’s Seattle Investor Summit + Showcase in Redmond, where GeekWire first heard the Optimly pitch.

The solution: Optimly has two connected products:

• The AI Brand Index is the free, public layer: a directory that AI agents can pull from, offering a short, structured description of a company generated automatically from across the web. The company says it has scored about 60,000 brands, with more than 24,000 now live and searchable.
• BrandVault is the paid layer. A brand verifies that it owns the name, then rewrites its entry in the plain, factual language an agent can parse, instead of the marketing copy on its website. Optimly then monitors how AI describes the brand and flags what to fix.

Background: Luty founded Optimly in October 2025. A researcher by training, she had studied public policy and economics at the University of Oregon, before a decade in consumer insights and product strategy in tech, studying how people decide which brands to trust. 

At Microsoft, she worked on the launch of the Surface line as a consumer research manager. At Meta, she led product marketing insights for the Quest and metaverse products and worked on the rebrand from Facebook to Meta. At Discord, she headed UX research and product strategy during the pivot back to gaming.

Each job, she said, came down to explaining a product to a new group of customers during a big shift in technology. She came to see AI as the next shift, with one difference: this time the initial consumers of the information are the AI systems themselves.

How it caught on: The idea started as an experiment. Optimly put up a small index of about 200 brands, just to see if anyone would notice, and AI agents swarmed it, asking for the data.

OpenAI sent three kinds of bots, Luty said: one crawling for training data, one building its own index, and one pulling live answers for users. The AI giants are each building their own private brand indexes that don’t talk to one another. Optimly wants to be the public, verified version. 

Anthropic’s Claude recently started pulling from the index as well.

The brand index now gets about 11,000 agent requests a week, up from 4,000 a few weeks earlier, the company says, and more than 100 brands have claimed their profiles since the index launched this spring. Many found it on their own, through Google or ChatGPT.

Landscape: Other startups already promise to track and improve how brands show up in AI. The category goes by AEO or GEO — answer-engine or generative-engine optimization. Most stop at telling a brand to publish more content, Luty said. 

Optimly’s pitch is different. Give a brand a page it can correct, then measure whether the fix changes what the AI says. AI chatbots have already started citing Optimly’s data in live answers, Luty said. The near-term goal is making that repeatable — proving a specific fix leads to a specific change.

Funding: Prior to the $800,000 pre-seed round, Optimly raised an initial $100,000 in late 2025 from Right Side Capital Management and Forum Ventures as part of their accelerator program. It also participated in a WTIA startup accelerator.

Business model: Brands pay monthly subscriptions, with tiers ranging from $100 to $799 a month. Luty said the long-term goal is to charge for results, not reports. 

The team: Optimly’s original technical co-founder has stepped back from his role in California into an advisory position. Luty is now hiring in Seattle, with openings for a technical co-founder and a senior founding engineer, and recently brought on a data engineering intern. 

She also works with contractors and, yes, makes significant use of AI agents. 

What’s next: The focus now is making the early results repeatable — running A/B tests to prove a specific profile fix leads to a specific change in how AI describes a brand.

Former GitHub CEO Thomas Dohmke‘s startup Entire is rolling out a distributed network for mirroring code repositories, making the case that centralized platforms like he once ran as part of Microsoft will struggle to handle the demands of AI coding agents on their own.

Entire, which emerged in February with a $60 million seed round, is launching a preview of its distributed Git network on Wednesday, with active regions in the U.S., Europe, and Australia. Developers can mirror an existing GitHub repository onto Entire in one step, keeping their code where it is while AI agents clone and pull from a faster, closer copy.

Dohmke cited a principle espoused by Linus Torvalds, creator of Linux and the Git version control system, in a 2007 talk: “If you’re not distributed, you’re not worth using.”

“In the era of agents, centralized Git hosting has become a fundamental constraint, as the strain of billions of agents and developers hammering a central server shows up in the form of rate limits, high latency, or even outages,” Dohmke said in a statement announcing the launch.

GitHub, which Microsoft acquired for $7.5 billion in 2018, is the dominant platform for storing and collaborating on software code. It’s built on top of Git, the open-source system that tracks changes across a codebase, which was designed from the start to work without a central server.

Dohmke, based in Bellevue, Wash., left GitHub last year after nearly four years as CEO. He co-founded Entire with Cole Driver, a former GitHub deputy chief of staff. The fully remote company has grown to more than 40 employees across nine countries.

Entire’s $60 million seed round was led by Felicis, with participation from Madrona, Microsoft’s venture arm M12, and Basis Set Ventures, along with individual investors including Yahoo co-founder Jerry Yang and Y Combinator CEO Garry Tan. Felicis called it the largest seed investment ever for a developer tools startup, valuing the company at $300 million.

“We think it can be the next great developer platform,” said Tim Porter, a Madrona managing director, in an interview this week.

He cited the company’s complementary position to the major coding agents — working in conjunction with Claude Code, Cursor, Codex, and others rather than competing with them — as a key factor driving its prospects for success.

Entire isn’t positioning itself as a direct competitor to GitHub, and the participation of M12 is a sign of the cooperative dynamic between the two. For now, the mirroring approach is designed to complement GitHub, not replace it.

Long-term, the company’s ambitions are much bigger. The announcement Wednesday morning about the preview of Entire’s distributed Git network says the company plans to ultimately let developers host new repositories natively, not just mirror existing ones.

Madrona, in a blog post earlier this year, described GitHub, while “incredibly important,” as “quickly becoming a legacy platform” and said Entire’s goal is “not only to supersede GitHub, but to superset it.”

The Seattle-based firm’s investment was led by Porter with the late S. “Soma” Somasegar, who was previously corporate vice president of Microsoft’s Developer Division and led the acquisition of Dohmke’s earlier startup, HockeyApp, announced in 2014.

Entire hasn’t disclosed pricing. Porter said the company plans to introduce commercial and individual tiers after the preview period, with a mix of seat-based and consumption-based pricing alongside a free tier and open-source components.

The new distributed Git network is one part of a broader platform. Entire also offers a tool that automatically records the reasoning and context behind AI-generated code changes — the instructions a developer gave, the steps the agent took, and why it made the choices it did — and stores them alongside the code itself in the repository.

The company says it now integrates with every major coding agent, including Claude Code, Codex, Cursor, Factory AI, and GitHub Copilot.

Entire is also announcing other new features on Wednesday:

• Entire Blame, which traces a line of code back to the agent conversation that produced it.
• Entire Review, which runs automated code reviews using that context.
• Code and Semantic Search, which queries the history of code changes and the reasoning behind them.

“Session logs are now the second most important artifact in software development,” Dohmke said in his statement, “and they belong in the repository alongside the code.”

Rohit Talluri learned the tradition at Amazon: always keep an empty chair in the room to represent the customer — a reminder of the people who will ultimately use whatever gets built.

Now, with AI coding tools creating software faster than ever, Talluri and his co-founders, fellow Amazon veterans Jean Farmer and Gabriel Fong, recognize that the customer can be easily forgotten in the process. So they’re creating a seat at the table for AI agents.

That’s the idea behind Primitive Labs. The startup is building what it calls behavioral intelligence: systems that observe, reason and act as customers would across software platforms and devices, helping product teams learn how people will react to a new feature, design or marketing decision before it ships.

Traditional user research and focus groups can take weeks or months, so teams under pressure to ship quickly are tempted to skip them. Primitive Labs is automating that research with agents that simulate human behavior, aiming to make it a routine step in building software.

“It’s bringing humans back to the center of a world that’s created by AI,” Talluri said. “That is the goal here.”

The mission, according to the startup’s launch post, is to “make human behavior a first-class primitive of software development.” That’s the inspiration for Primitive Labs’ name. The idea is to build products that people will understand, trust and keep using — not the average user, but specific types of users in specific contexts.

Founding team: Talluri, the Primitive Labs CEO, is joined by co-founders Farmer, CTO; and Fong, COO.

Fong and Talluri have worked together since 2020. At AWS in Seattle, Fong held product marketing and enterprise account roles, then led sales and marketing at the cloud consultancy DoiT International.

At Primitive Labs, his role runs broader than sales and marketing, spanning product direction, customer development and operations. Talluri describes him as highly technical and a hands-on contributor to the company’s core product work.

Farmer and Talluri worked together at AWS on large-scale machine-learning infrastructure, including the SageMaker HyperPod training service, before both moved into Amazon’s AGI organization.

Farmer worked on the Amazon Nova models’ ability to use software tools — designing how the models call tools and take actions, and building the systems to test and measure how well the resulting agents perform. That work included benchmarks for the Model Context Protocol (MCP), the emerging standard for connecting AI models to outside tools and data.

Roots in AI autonomy: Talluri joined the AGI Autonomy Lab, the group Amazon assembled around talent it hired from Adept, a San Francisco startup building AI agents that operate software on their own.

Amazon had brought on Adept’s CEO, David Luan, a former OpenAI executive, along with other co-founders in 2024, and licensed the startup’s technology, putting Luan in charge of the lab. Talluri worked there on computer-use agents and helped launch Nova Act, Amazon’s agentic computer-use model.

Talluri said he initially came close to leaving Amazon in 2025 to start a company, before leaders there steered him toward the Autonomy Lab to work under Luan (who has since left Amazon).

Funding: Primitive Labs has raised a pre-seed round, led by a16z Speedrun and joined by several small, newer venture funds and a group of angel investors. The company isn’t disclosing the funding amount.

Its launch post lists backers including Olive Tree Capital, Cloverfield Fund and Unexpected Investments (from former TechCrunch editor Josh Constine), plus angels such as Luan, Harsh Patel and Artur Kiulian, and others with backgrounds at OpenAI, Amazon, Google DeepMind, Databricks, Nvidia and Meta.

Primitive Labs will join a16z Speedrun’s cohort starting this month, and expects to raise its next round around the end of the program, in September or October.

Headquarters: The company is based in San Francisco, where it’s working part-time out of a16z’s Speedrun space, with plans to get its own office after making its first hires.

Talluri, a University of Washington graduate who read GeekWire as a student and dreamed of launching a startup of his own, said the choice came down to San Francisco’s talent density and the pace of AI research there, plus the Speedrun program being there.

Primitive Labs posted its first job listings last week — for founding engineers, researchers and an intern, in San Francisco or New York.

Product status: The company is pre-revenue and working with a small group of early customers who are testing its product and helping shape it, including private previews with what Talluri described as Fortune 500 and Fortune 50 consumer-technology and e-commerce brands.

The company plans to launch its products in general availability later this year.

How it works: The agents work across devices including computers and phones, focused for now on digital products and customer journeys. The company says it has also explored using them to gauge reactions to physical products, such as brand and packaging.

The underlying research draws on computational cognitive science, continual learning and custom memory systems modeled on how people store information — work Talluri said the company plans to publish and partly open-source in the coming months.

While other startups are working on agent-based simulation and automated testing of user interfaces, what sets Primitive Labs apart, Talluri said, is the focus on human alignment. That means building agents that faithfully represent a specific product’s users, and making that a standard layer of how software gets built. He described the key measure as behavioral fidelity, or how closely an agent’s choices track human decisions.

Asked whether the startup will keep a chair empty when it gets an office, in the Amazon tradition, Talluri didn’t hesitate. “100%,” he said. And yes, he said, they’ll be envisioning an agent sitting there.