AI2 Incubator Rebrands as AI House, Doubles Down on Seattle

We are doubling down on Seattle.

Today, AI2 Incubator is becoming AI House (aihouse.vc). We have a new name, a stronger team, and a clearer focus: helping build the next generation of AI companies from Seattle.

For the past 12 years, we have worked with AI founders from the earliest stages. Our portfolio companies have raised hundreds of millions of dollars and helped move AI from a specialized research field into one of the most important company-building platforms of our time.

Along the way, something else formed around that work: a community of founders, engineers, researchers, operators, investors, and partners who care about building AI companies here.

Last year, we launched AI House as a home for that community. It became a physical hub for Seattle's AI ecosystem, and more than 20,000 people came through our events and programming.

Today, we are putting our full team, brand, capital, and resources behind making Seattle one of the most important AI startup ecosystems in the world, in our own Seattle way. We also recently added Sri Chandrasekar as a new Managing Director; Taylor Soper as Director of Community and Programming; and several new venture partners with deep AI expertise.

It's all part of a focus on organizing ourselves around this unique moment.

From AI2 Incubator to AI House

The AI2 Incubator started in 2014, long before AI became the center of the tech industry. For more than a decade, we helped founders with the unglamorous early work of company-building: idea formation, customer discovery, recruiting, technical strategy, first customers, fundraising, and the messy first year. That work is still core to who we are. But the job has changed.

AI founders now need more than advice and capital. They need fast access to technical judgment, customer insight, industry expertise, operator experience, research perspective, and other founders who are figuring out the new playbook at the same time.

Why Seattle

Seattle is already one of the most important AI cities in the world. Microsoft and Amazon are here. The University of Washington is here. The Allen Institute for AI helped shape the modern AI research community here. Google, Meta, Apple, Salesforce, Nvidia, TikTok, and others have major engineering teams here. SpaceX has a large operation in Redmond. OpenAI has expanded in Bellevue. Anthropic and xAI are building teams in Seattle.

A huge amount of the AI economy already runs through this region: cloud infrastructure, enterprise software, research, data centers, applied machine learning, aerospace, logistics, developer tools, and large-scale systems. That matters because the next phase of AI will be less about demos and more about deployment.

The hard part will be understanding customers, workflows, data, security, distribution, trust, and the messy realities of real industries. Seattle is good at that kind of work.

There is a Seattle way to build companies: start with real customer problems, respect technical depth, build for durability, stay close to users, and let substance matter more than flash.

That does not mean small ambition. Some of the most important technology companies in the world were built here. It means ambition expressed differently: less theater, more systems thinking; less hype-cycle chasing, more customer obsession; less founder-as-celebrity, more team, product, and execution.

The next Microsoft or Amazon of the AI era will be built here upon the same principles.

What AI House Does

AI House is built around three connected pieces: Community, Incubator, and Capital.

1) Community

AI House Community brings together the people building, funding, researching, and operating AI companies in Seattle and across the Pacific Northwest. Through our foundational partnership with the City of Seattle and Ada Developers Academy, early support from Google and JPMorgan, our programming, our Resident Experts, our LP network, and the broader founder community, we help founders get to the right people earlier. That is the point: useful proximity.

Founders need people who can help them pressure-test ideas, meet customers, find talent, understand technical tradeoffs, and avoid obvious mistakes. They need other founders nearby who are dealing with the same questions in real time. AI is moving too quickly for anyone to build in isolation. We want AI House to be the place where Seattle's AI builders can find each other and get useful help faster.

2) Incubator

AI House Incubator is where we work side by side with founders from the earliest stages. We help with idea formation, customer discovery, recruiting, technical strategy, product decisions, pricing, first customers, fundraising, and the hard decisions that come before a company has much structure around it.

This is still the core of our work. But we are adding one new requirement. Going forward, every founder in our incubator will spend at least one month in Seattle, working from AI House daily. If we are serious about Seattle becoming a major AI startup hub, founders need to be here, not just occasionally passing through.

We will still recruit founders from across North America. Great companies can start anywhere, and we want to work with the best AI founders wherever they begin. But we believe founders building with us should spend real time in Seattle. Community is not something you can fully access from a distance. The value comes from being in the room: the conversation after an event, the founder at the next desk, the operator who helps with a pricing question, the researcher who changes how you think about a technical problem, the customer introduction that happens because someone nearby knows the right person.

3) Capital

AI House Capital is where we write pre-seed checks into AI companies from our $80 million Fund III. Most often, we invest in companies we help incubate. But we also invest directly in founders who already have momentum and do not need the full incubation model. The goal is to meet founders where they are, with the right mix of capital, company-building support, and community.

We are especially interested in applied AI companies built around real customer pain, strong technical insight, and deep domain understanding. That is where we think Seattle can be unusually strong. The next wave of AI companies will not only come from better models or better horizontal tools. Many will come from founders who understand specific industries and can use AI to change how work actually gets done. Seattle has a lot of those founders. We want to back them early.

A Stronger Team

This next chapter also includes a major investment in our team. This is the kind of team we think AI founders need now: people who understand capital, research, engineering, company-building, and community.

1) Sri Chandrasekar — Managing Director

Sri came up as an engineer and has invested across the full life of a company, from first checks through the rounds before IPO. At Point72 Private Investments, he helped build the ventures and private equity businesses, backing companies across AI, deep tech, healthcare, defense, space, and enterprise software. Before that, he led investments at In-Q-Tel, after nearly a decade designing mission-critical systems at BAE Systems.

Sri moved to Seattle five years ago because he no longer believed the Bay Area was the only place that mattered for venture. He was drawn to the technical depth of this ecosystem. Since then, he has been part of the AI House story from the outside, including as an investor in several of our portfolio companies and the person who wrote the first check into Fund III. Now he joins us full-time.

2) Taylor Soper — Director of Community and Programming

Taylor spent more than 13 years at GeekWire, where he became one of the most connected and respected business and technology journalists in the Pacific Northwest. He covered startups, Microsoft, Amazon, AI, and the broader Seattle-area tech ecosystem. He knows this community, cares about it, and understands where the connective tissue is still missing. If AI House is going to help organize the Seattle AI ecosystem, community needs to be a core function. Taylor will lead that work.

3) New Technical Venture Partners

• Pierre Martin is CTO and co-founder at Gavel. He was previously founding CTO at Beacon, vice president of engineering at Flexe, and spent a decade across Amazon and Microsoft, including Prime Video Live, Xbox cloud gaming, and Amazon Logistics.

• Dan Koch is a two-time startup CTO. He scaled TUNE to more than $75 million in ARR and 140-plus engineers before its acquisition by Constellation Software. He was also the first technical hire at Tomo, where he built a 30-person engineering organization supporting hundreds of millions in annual mortgage origination.

• Emad Elwany co-founded Lexion out of our incubator, grew it from three people to more than 100, raised more than $35 million from Khosla, Point72 Ventures, Madrona, and Citi Ventures, and sold the company to Docusign in 2024, where he is now vice president of engineering.

• Aniruddha Kembhavi is one of the leading computer vision researchers of the past decade, with best paper awards at CVPR, NeurIPS, ICRA, IROS, and CoRL. He was a director at Wayve, building end-to-end autonomous driving, and is now in AI research at Meta.

• Yulia Tsvetkov is a professor at the University of Washington's Paul G. Allen School and one of the leading NLP researchers of the LLM era, with best and outstanding paper recognition at ACL, NeurIPS, and ICLR.

Why the Model Is Changing

The company-building playbook that worked in 2018 does not work in 2026. The technology is different. Team sizes are different. Customer expectations are different. The speed is different. Competition is different. The new playbook is being written in real-time.

In the age of agents, execution is getting cheaper. Small teams can build products, automate workflows, write code, analyze data, and test ideas faster than ever before. The bottleneck is shifting. It is no longer just whether you can build. It is whether you know what is worth building.

That makes judgment more important. It makes domain expertise more important. It makes customer access more important. It makes community more important. If you do not understand an industry, AI can help you move faster in the wrong direction. It can automate a bad workflow, chase a shallow customer pain, or polish a product nobody needs. The better your judgment, the more powerful the tools become.

This is why we think Seattle is well positioned. This region has technical depth, but it also has operators and customers across many of the industries where AI will matter most.

The Seattle way of building is especially well suited to this moment. It is practical. It is technical. It is customer-aware. It is less interested in looking inevitable and more interested in becoming inevitable through execution.

We want AI House to connect those pieces more intentionally.

What We Are Building in Seattle

We are not trying to turn Seattle into the Bay Area. Seattle does not need to copy another ecosystem's culture or playbook. It needs to become a stronger version of itself.

That means knowing who we are and building in the Seattle way: serious, technical, customer-focused, quietly ambitious, and allergic to empty hype. It means companies that can sell to real customers, recruit excellent teams, make hard technical decisions, and compound over time.

It also means more founder density. More early capital. More visible ambition. More connection between research, industry, startups, and investors. More people that are willing to mentor, write checks, host, hire, make introductions, and help first-time founders get started.

That is the work. AI House is our contribution to that work. We want it to be a front door for AI founders in Seattle, and a gathering place for the broader Pacific Northwest technology community. A place where founders from Seattle, Bellevue, Redmond, Tacoma, Bellingham, Spokane, Portland, Vancouver, the Inland Northwest, and beyond can plug into something useful. A place where founders from anywhere in North America can spend a month and understand why this ecosystem matters.

Get Involved!

If you believe Seattle should be one of the most important AI startup ecosystems in the world, we want you involved.

Community

• Sign up for the community event calendar and newsletter to hear about upcoming founder events, workshops, and community programming: luma.com/aihouse

• Apply to become a Resident Expert if you are an operator, researcher, technical leader, founder, executive, or investor with hard-earned expertise to share: aihouse.vc/community

• Host something useful for the ecosystem. If you are organizing an AI-focused event, workshop, meetup, demo night, or founder gathering, host it at the AI House Community event space: events@aihouse.vc

• Make AI House your office. If you are a founder or team looking for workspace connected to the AI House ecosystem, explore Waterfront Workspaces in the same building, the iconic Pier 70: striveworkspaces.com

Incubator

• Working on an applied AI idea? Come incubate with us! We work side by side with founders from the earliest stages: idea formation, customer discovery, recruiting, technical strategy, first customers, and the messy first year. aihouse.vc/incubator

Capital

• Need pre-seed funding for your AI startup? We invest pre-seed capital into AI companies. This includes startups we incubate and external founders with existing momentum that don't need incubation. Get simple pre-seed funding: aihouse.vc/capital

A Special Thank You

As we begin this next chapter, we also want to thank the people and institutions that helped us get here.

The AI2 Incubator was born in 2014 inside Seattle's Allen Institute for AI, more than a decade before ChatGPT brought AI into the center of public conversation. Ai2 exists because of Paul Allen's belief that science, technology, and long-term research could help solve important problems for humanity, and we are grateful for his vision and honor his memory.

Our early years were shaped by Ai2's work in language, vision, machine learning, and commonsense reasoning, as well as by leaders and advisors with deep ties to the institute and Seattle's broader applied AI community. It was a special place to begin. Today, as we become AI House, we remain unaffiliated with the Allen Institute for AI.

We also recognize and deeply thank Vu Ha for his near-decade of service helping build the original AI2 Incubator. Vu's research leadership, technical judgment, and steady commitment helped shape the previous version of our organization through an important part of its history.

AI House Community also has its own origin story. The City of Seattle, the State of Washington, and Ada Developers Academy were the foundational partners of this public-private partnership, joined by sponsors Google and JPMorgan, to help bring the original AI House Community to life. They understood that this region needed a gathering place for founders, engineers, researchers, operators, and investors working in AI. We are grateful for their early belief, their partnership, and their role in helping create the community we are now carrying forward.

With gratitude all around, we carry this rich history into the next chapter as AI House.