Sovereign AI for enterprises. Build AI you own on infrastructure you control. Private, specialized models that run where your data lives.

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"A general model is only the beginning. Individuals and organizations need intelligence deeply specialized to them." — @Davidstout Today we're partnering with Forge to bring private, specialized AI to enterprise customers. Read the announcement: webai.com/blog/webai-lands-u…
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"More AI is not synonymous with more data centers." @Davidstout, our CEO, in a new op-ed for the @dcexaminer on why the trillion-dollar AI data center build-out is a bet on the wrong future. The future of AI is smaller, specialized, and local. Read the full piece: washingtonexaminer.com/resto…
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On the 25th anniversary of September 11, we remember the nearly 3,000 lives lost, the families who still carry that day with them, and the heroes who ran toward danger to help others. We're grateful to all those who have defended our country and freedoms, then and now. We will always remember.
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couldn't be us 👀 join the waitlist for access: webai.com/waitlist
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Introducing webAI Frontline. Server-class AI. Running on a single iPad. Every technical industry runs on documents nobody can actually search. Manuals, procedures, regulations that go thousands of pages deep. Frontline turns them into an expert you can talk to. Ask a question and get the answer, cited to the exact page it came from. Fully offline, running on the device in your hand. AI that works where the work happens. Explore Frontline: webai.com/platform/frontline
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TwIL-LM3 has been downloaded nearly 80,000 times since we released it. TwIL-LM3 judges reasoning. Give it a chain of logic and it can tell you whether the conclusion follows and the proof steps hold up, then explain in plain English. Specialist models like this usually run in the background. TwIL-LM3 can work directly with people while still handling the formal reasoning underneath. Here's where developers, researchers, and teams are using it: Judgment tasks — deciding whether a logical claim or proof step actually holds up rather than just sounding convincing. Mixed products — anywhere the same interface needs to answer everyday questions AND handle formal reasoning without switching models. Explanations — turning the output of a solver or formal reasoner into something a person can understand. TwIL-LM3 doesn't replace a real verifier for safety-critical work, but for everything else it gives you a checkable answer. It's fast, concise, and runs on your device. Get the model on @huggingface: huggingface.co/webAI-Officia…
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Episode 6 of The Block. This week we're walking with Yash Sinha, Forward Deployed Engineer at webAI. We talked about his work on the webAI app and client rollouts, plus why he's excited about foundation models used beyond language. Then even more caffeine at Fleet Coffee. ☕
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Huge congratulations to Jason Rathje, President of our Public Sector team, for being named to the @Forbes 250 Most Successful Living Veterans list. 🎖️ See the full list: forbes.com/sites/alexknapp/2…
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webAI-ColVec1.1 is here. New SOTA on ViDoRe V3. 75% smaller embeddings. 4x less compute per query. OCR-free visual document retrieval. Multi-vector late interaction over rendered pages preserves tables, figures, and layout signals that single-vector embeddings destroy. Full breakdown + models: webai.com/blog/colvec1-1-inc…
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Episode 5 of The Block. This week we're walking with Sam Avila, ML Engineer at webAI. We talked about his work using AI to help firefighters in the field, and use cases with real impact. Then a dirty chai at Trippy Buck. ☕ See you next episode.
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Episode 4 of The Block. This week we're walking with Dani Wolesensky, Business Ops Program Manager at webAI. We talked about how she supports teams across the org and how she sees AI helping people move faster. Then pastries at Swedish Hill Bakery. 🥐 See you on the next one!
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At webAI, we think you should own your intelligence.
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Episode 3 of The Block. This week we're walking with Brandon Kynoch, AI Software Engineer at webAI. We talked about edge device performance offline, and where data centers are heading with water efficiency. Then a caffeine stop at Jo's Coffee. ☕ Catch you on the next one.
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"You're absolutely right!" If you use frontier LLMs, you've heard this a lot. But over time, you start to wonder. Can you actually trust a model that abandons a correct answer the moment you push back? Why this matters more than you think: webai.com/blog/sycophant-llm…
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Episode 2 of The Block. This week we're walking with Mukta Maddipatla, ML Engineer at webAI. We talked about where she thinks AI is going and then she takes us to Thistle Cafe for wraps and smoothies. 🌯🥤 More episodes on the way.
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The real cost of your cloud AI subscription isn't the API bill. It's everything you could have built if you weren't renting intelligence. Rented AI does the same job every month. Owned intelligence gets more valuable over time. More on the real cost of renting intelligence: webai.com/blog/the-hidden-co…
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This country was built on the freedom to make something worth owning. We're still building on it. And building for the ones who come next. Happy 250th, America.
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Introducing The Block. A new series about the people behind webAI. We walk Austin with a different teammate each episode, hear what they're working on, and end at their go-to spot. Ep. 1: Rohit Jayakrishnan, ML Engineer. Coffee at Desnudo. ☕️
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AI policy should not be defined only by what frontier labs, cloud platforms, and centralized model providers believe is best. webAI has a different view: ownership, local control, distributed intelligence, practical deployment, and a focus on the people and institutions AI is meant to serve. Here’s what we think AI policy should stand for: – Empowerment over extraction – Control belongs with the user – The strongest intelligence is distributed and specialized – AI should be a utility for everyday work and life – AI policy should reward practical, broadly shared value Read the full piece: webai.com/blog/what-webai-st…
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