Seattle-based venture capital firm Madrona released its sixth annual Intelligent Applications 40 list this week, naming 45 private AI companies (the five extras come from ties) that have collectively raised $410 billion from investors across the industry.

Three of them — Anthropic, OpenAI and Databricks — account for 92% of that total.

The uneven distribution of funding reflects a larger split in the tech industry, as the largest AI companies make huge bets on the computing capacity needed to meet demand for their models, while almost everyone else builds businesses on top of them.

The frontier labs are “increasingly funded by strategic capital from the likes of Amazon, Google, Nvidia and SoftBank rather than traditional venture,” Madrona’s Matt McIlwain and Rolanda Fu wrote in a post accompanying the list. That scale, they added, “makes every other category on this list look capital light by comparison.”

On top of that, he said, hundreds of billions of dollars are flowing into OpenAI and Anthropic.

“And what I say to both the big tech companies and to the people funding the model companies: thank you very much,” McIlwain said on Bloomberg TV, noting that the five largest tech companies will spend an estimated $750 billion in capital expenditures this year.

But even setting those big three aside, McIlwain said, the rest of the winners have raised an average of more than $800 million each. That’s a total of $34 billion combined. Companies across the list are raising far more than they used to, enough that Madrona had to redraw its own categories.

The list sorts companies by total capital raised, and this year the ceiling for “early stage” rose to $50 million, up from the $30 million threshold that held for the previous five lists. The cutoff for “emerging enablers,” its category for smaller infrastructure companies, doubled to $100 million.

“Companies across the board are raising more money, and the definition for what ‘early’ means continues to shift higher,” McIlwain and Fu wrote.

Madrona has published the IA40 since 2021 as a roster of the private companies it considers most important in building and enabling AI applications. According to the firm, this year’s list drew on input from 72 investors representing 54 venture and corporate firms, who nominated and voted on more than 450 companies, with PitchBook data factored into the scoring.

Two Seattle-area companies made this year’s list:

• Clarify, which builds an AI-native CRM, appears in the early-stage category for the second straight year, with $23 million raised. It acquired San Francisco’s Seam AI in July.
• Gradial, which builds AI agents for enterprise marketing, is a first-time winner in the mid-stage category; it raised $65 million in June at a $675 million valuation, bringing its total to $120 million.

Last year’s list included two other Seattle-area companies in addition to Clarify.

• OpenAI acquired one of them, Bellevue-based Statsig, for $1.1 billion in September 2025, making Statsig founder Vijaye Raji its CTO of applications.
• Security startup Dropzone AI, which was on the list last year, did not repeat this year.

Madrona, one of the Seattle region’s largest and oldest venture capital firms, is an investor in all four — Clarify, Gradial, Statsig and Dropzone AI — although it also invests outside the region, and many of the companies on the IA40 are not in its portfolio.

Several of the companies on this year’s list have engineering centers in the Seattle region, including Anthropic, which leased 113,000 square feet in South Lake Union this year; OpenAI, which expanded to nearly 300,000 square feet in downtown Bellevue after the Statsig acquisition; and Anduril, which employs about 560 people in Bellevue and Seattle.

Databricks, the San Francisco-based data and AI company (which leased 142,000 square feet in Bellevue this year), is the only company to appear on all six IA40 lists. That said, 23 of last year’s 40 winners returned this year, a 58% repeat rate, up from 33% the year before.

McIlwain and Fu wrote that the biggest and most established companies on the list are holding their spots, noting that “the age of experimentation is giving way to an age of enterprise readiness,” with buyers and investors “paying premiums for companies that can demonstrate real ROI.”

Madrona will recognize the winners at its IA40 Summit in Seattle on Sept. 29 and 30.

Updated with Matt McIlwain’s comments to Bloomberg TV.

Attending as many Seattle Tech Week events as possible and talking with as many people as I could, I was struck by the number of people looking for work and the volume of visitors from the Bay Area, including a number of investors looking to get a sense for what the regional tech scene is about.

It was hard not to imagine them being impressed with the sheer level of engagement and enthusiasm, even if they didn’t happen to catch Jacob Colker’s rallying cry. With more than 250 events (and waiting lists for many of them) it was more than any one person could take in.

It wasn’t Seattle AI Week — that’s still to come in October — but given the moment in tech and the world, the topic of artificial intelligence was naturally the main throughline of the week.

A panel that changed my perspective was early in the week, called “Foundation Models Go Vertical,” hosted by the Seattle pre-seed firm Ascend at Washington 1000 downtown. Founding general partner Kirby Winfield told the room that 600 people had tried to get in.

One of the biggest insights was from Manos Koukoumidis, CEO of Kirkland-based Oumi and a former Google Cloud AI engineering manager who led large language model efforts there.

Companies that are racing to build on top of the frontier models, he said, are renting a kind of intelligence that has very little to do with their own businesses.

“Enterprises are using a model that is trained on 5% of the world’s data that sits on the web, not the other 95%,” he said, referring to the data sitting inside their own organizations.

Which led him to the question (and the point) that I keep coming back to: If the intelligence at the center of the product belongs to someone else, he asked, “are you really an AI company, or an application company on top of somebody else’s intelligence?”

The next day, in the audience for a recording of the Founded & Funded podcast by Seattle Tech Week organizer Madrona, I posed the question that we debated on last week’s episode of our GeekWire Podcast: what should Seattle founders and investors make of venture numbers that rank Philadelphia, Austin, and New York ahead of them?

It was the right place to ask, given that the show featured Nizar Tarhuni, EVP for research and market intelligence at PitchBook, which tracks the numbers, and Madrona partner Sabrina Albert.

Albert pointed out that the numbers don’t capture everything. A company can have a big engineering group in Seattle, or even a co-founder here, and still be counted as a Bay Area company, she said. Large engineering offices for OpenAI and Anthropic are the latest examples.

Tarhuni made a similar point: “There’s so much talent in some of the biggest unicorns that are actually working out of Seattle,” he said. In terms of overall economic activity, he added, “there’s a lot more here that doesn’t make its way into those numbers.”

Other quotes and insights that stood out from the sessions we attended:

Patrick Thompson, CEO of Seattle-based Clarify, said his company’s Anthropic bill had tripled in three months. He has shifted spending to AWS Bedrock, citing reliability problems, and now runs smaller models locally on his own laptop for low-level work.

Madrona’s Albert, on the shift to selling outcomes: “Before, when you were thinking about traditional software, you would charge for a seat or a unit of software. But now you can really fundamentally change it. … If I deliver this outcome for you, then you can actually pay me for it.”

Ken Horenstein, founder of Pack Ventures, which invests in startups tied to the University of Washington, on the knock that Seattle is slow: research institutions here are “choosing problems that are 10, 15, 20, 50-year problems,” he said. “Sometimes people put that as a negative rap on us because we don’t go really fast and flame really bright like you might see in other markets. But I actually think that can be used as a benefit.”

Ben Gaffney, deputy general counsel at OpenAI, on the notion that AI is thinning out headcount: “Even within the legal team that I work in, we need more people. Even though we’re getting all these massive productivity gains, it isn’t like you don’t need people to supervise this stuff.”

Brian Hall, the longtime Microsoft, AWS and Google executive who became chief marketing officer at Mistral AI in June, on where this all ends up: “We’re gonna laugh when we thought that AI was gonna save us time.”

Ascend’s Winfield, on the limits of what investors provide: “If I invested in you, it’s not because I’m smart about your market. It’s because you’re smart about your market. … If you’re looking for answers from your investors, you’re in trouble.”

Karl Siebrecht, co-founder and CEO of Flexe, at a networking event, telling founders to stop networking: “Spending time as a founder trying to market yourself to investors, I think, is a fallacy. If you focus on building a valuable company … I can promise you, investors will find you.”

Molly Klein, founder and CEO of Perk Events, who runs some of GeekWire’s biggest events, on why any of this happens in the first place: “Events are hands-down the strongest business development tool that you have,” she said. “One conversation may take six emails in three weeks. At an event, it happens in 10 minutes, because you’re getting that face-to-face time.”

That pretty much summed up the week.

How interconnected is Washington’s tech industry? Enough that a large share of the state’s companies can trace their lineage to Microsoft, the University of Washington, Amazon, and a handful of other institutions.

A new visualization from the Washington Technology Industry Association (WTIA), unveiled this week, charts those family trees. But the “Washington Tech Universe” map offers only a partial view: Washington is home to 25,000 tech companies, and just 625 are featured.

“This is not a ranker of all the best companies,” said Nick Ellingson, WTIA’s vice president of innovation and entrepreneurship, during a presentation at Seattle Tech Week. The point, he said, is to show the region’s connectivity and to make the case for investing in the community as a whole.

The “Tech Universe Map” comes 11 years after the trade group published a similar visualization. According to Ellingson, the update came because people kept asking for it, not because of a single event. It’s unrelated to WTIA’s efforts to help Washington establish a public AI narrative.

That said, the 2026 edition is markedly different from the one in 2015: The new map looks at the entire state, aiming to comprehensively chart the connections among different companies, while the prior version was limited to companies in Seattle, with a more narrow focus on acquisitions and similar data.

Microsoft and UW produce the most founders

WTIA’s data shows that today, Washington has four main founder “hubs,” with Microsoft being the largest. About a quarter of the mapped companies — 161 of 625 — have at least one founder who came out of Microsoft. UW is the second with 143 companies, followed by Amazon, which anchors 58 firms. Google rounds out the group with 20 connections, though it’s a pipeline that didn’t exist in WTIA’s 2015 map.

UW isn’t the only school producing founders. WTIA’s map traces company lineages to Washington State, Western Washington, Central Washington, Eastern Washington, Whitman College, Seattle University, and Seattle Pacific. Still, UW accounts for 70% of the map’s university connections.

Broken down, the data shows that nearly two out of three companies (64%) grew out of another company listed on WTIA’s map. A third came out of a university, or out of a company that operates in Washington without being headquartered here.

Google is the clearest example of the latter since it’s based in California but has a significant presence here. Moreover, WTIA found that 44% of mapped companies had founders who previously worked at two or more Washington organizations before starting theirs.

Ellingson called the hubs “gravity wells that bend the entire region toward the next generation of founders” in the announcement.

However, he cautioned that this pipeline concentrated around four main sources could be a risk. Some of the hubs he expects to grow next, such as Google, OpenAI, Anthropic, and Nvidia, are headquartered elsewhere and maintain engineering centers here, a presence that is easier to scale back. Microsoft, Amazon, and UW aren’t going anywhere. The next generation of hubs has no such guarantee.

To mitigate this risk, Ellingson called for broad community support for these hubs, saying it would keep the flywheel going.

These companies, he said, “are growing not just the jobs at their companies, but they’re creating the next employers, venture-scale startups, and tech companies that go on to build amazing things, and hire the next generation of talent here and bring more talent to the area, who then go and create their own startups.”

The next hubs are forming around AI

WTIA also recognized AI’s impact on Washington’s tech ecosystem. Although the technology was not a formal selection criterion, it became evident that AI would be a dominant theme among the featured companies. In fact, firms like Read AI, Karat, Yoodli, Outreach, and Pictory appear on the map for the first time. And Ellingson revealed that “many of the startups on the map are AI startups.”

“Twenty-three percent of the AI talent in the United States is here in Seattle,” he said.

That, along with the burgeoning startup ecosystem, is why organizations like the Allen Institute for AI (Ai2) and AI House, are poised to have large constellations of their own. AI House was formerly the AI2 Incubator. It spun out as an independent entity in 2022 and rebranded in June.

WTIA noted that Ai2 is the first research lab on its map to operate as a “founder factory.”

Other AI companies making their presence known on the “Tech Universe Map” include OpenAI and Anthropic. While not Washington-native, both AI model makers have established or expanded their outposts in the state since 2015.

Ellingson predicted that, like Ai2, both would eventually become major hubs.

How companies were selected

To create the “Tech Universe Map,” WTIA started out with a dataset of 3,500 Washington-based tech companies with at least $1 million in funding or revenue according to PitchBook.

The group was filtered further to those that were headquartered or had notable engineering centers in the state, were still active, and had “meaningful” Washington-grown connections through founder or university lineage. The GeekWire 200 was also used in the process.

WTIA enlisted the help of UW graduate Jessica Forcucci and a team of designers to create the visualization. In brief remarks, Forcucci explained her vision for the “Tech Universe Map,” saying the goal was to “demonstrate the interconnectivity” these companies had with each other.

Predicting what the next map will look like

As Washington’s tech ecosystem evolves, Ellingson predicted there will not only be bigger constellations of AI companies, but also quantum, fusion and advanced energy, and space and defense. He believed more tech clusters will blossom statewide beyond King County.

Ellingson said WTIA is seeing real growth in Wenatchee, the Tri-Cities and Spokane. Those regional clusters are small now, he said, but he expects them to be substantial by 2031.

To make the next map happen, Ellingson urged people to open doors for others, make introductions without expecting anything in return, and give first, building community and forming new constellations.

Posters of the Tech Universe Map are available for purchase.

Note: GeekWire is a media sponsor of the Tech Universe Map project.