The sovereign AI platform betting that the most valuable models of the future won't live in the cloud - they'll run on hardware you already own.
webAI's brand mark and "Own Your Intelligence" motto. The Austin company sells a single idea: keep your data - and the intelligence trained on it - inside your own walls.
Most artificial-intelligence companies want your data in their cloud. webAI was built on the opposite premise. Founded in 2019 by David Stout, Ethan Baird and Tyler Mauer, the Austin-based company sells enterprises a way to build, train and run their own AI models on hardware they control - on-device and on-premise, with no round trip to a remote data center.
The wager was contrarian when it was placed. Stout and his co-founders, then a Michigan-based engineering team, argued that the most valuable AI systems of the future would not sit in centralized clouds but on the devices people already own. Roughly four years later, the market has adopted the vocabulary webAI helped popularize: "sovereign AI," the idea that an organization should own the model, the data and the infrastructure end to end.
The problem webAI addresses is concrete. Hospitals, manufacturers, defense contractors and financial firms often cannot legally or safely send their most sensitive information to a third-party cloud. That constraint left a large slice of the economy on the sidelines of the generative-AI boom. webAI's platform is designed to bring the AI to the data instead of the other way around, so specialized intelligence can be trained on a company's own knowledge and stay there.
"We want AI to run as close to where data is generated as possible, without relying on the cloud or Wi-Fi connection," Stout has said - a line that doubles as the company's entire product strategy.
Investors have taken the thesis seriously. After a Series A that raised roughly $60 million and valued the company near $700 million in 2024, webAI reportedly closed an additional early-stage round in January 2026 - backed by Marc Benioff's Time Ventures and Atreides Management, alongside existing investor Forerunner Ventures - that lifted its valuation to about $2.5 billion.
"AI should be specialized, sovereign, efficient, and sustainable."— webAI, on its founding principles
A drag-and-drop environment where teams design, build, train and deploy custom models locally - connecting cameras and data inputs to existing hardware, with no cloud dependency.
A device-native AI assistant tuned to enterprise workflows. It pairs LLMs with proprietary company data and reads a user's screen, folders and apps while keeping IP and data on the device.
Distributed runtime software that clusters multiple Apple silicon devices into a single local compute fabric - functioning like a GPU cluster, minus the cloud and the Nvidia scramble.
Stout, Baird and Mauer start the company on a thesis that valuable AI will run on devices people own, not centralized clouds.
A Series A (~$43M round, ~$60M total) plus new board members establishes the company at a roughly $700 million valuation.
webAI launches its device-native Companion assistant and partners with MacStadium to run large models on Apple silicon.
An additional early-stage round backed by Time Ventures and Atreides Management reportedly lifts webAI's value to about $2.5 billion.
Product demos, platform walkthroughs and talks from the webAI team - including Navigator and Companion in action.
▶ Official webAI channel →Coverage of webAI's on-device thesis and its 2026 valuation jump from SiliconANGLE and Axios.
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