Conway Research founder Sigil Wen has announced the launch of Underdog, described as a private personal AI that runs on devices users already own. According to the announcement, the project has backing from a16z, Khosla Ventures, Hummingbird VC, and Anthology, a vehicle tied to Anthropic and Menlo Ventures, along with support from several figures in the AI field including Patrick Collison, Naval, Guillermo Rauch, Noam Brown, Thomas Wolf, and Logan Kilpatrick. Underdog says its mission is to deliver free, usable, reliable, and private AI to billions of people. The team also put forward what it calls “Underdog’s Law,” arguing that frontier intelligence available today will reach user devices within six months. The project plans to begin with high-speed AI that can run on consumer hardware and aims to improve capability, speed, power use, and data efficiency through joint design of models and inference engines. Its research scope includes agentic commerce, confidential inference, and how AI could reshape the internet economy.
ChainCatcher reported that Conway Research founder Sigil Wen has launched Underdog, a private personal AI designed to run on devices users already have.
Wen said the project has support from a16z, Khosla Ventures, Hummingbird VC, and Anthology, which involves Anthropic and Menlo Ventures, as well as AI industry figures including Patrick Collison, Naval, Guillermo Rauch, Noam Brown, Thomas Wolf, and Logan Kilpatrick.
Mission and positioning
According to the announcement, Underdog’s mission is to provide free, usable, reliable, and private AI to billions of people. The team also introduced “Underdog’s Law,” saying that frontier intelligence available today will reach user devices within six months.
Technical approach
The project will start with high-speed AI that can run on consumer hardware. It said progress on capability, speed, power consumption, and data efficiency will come from co-designing models and inference engines.
Research focus
The announcement added that Underdog’s research covers agentic commerce, confidential inference, and how AI may reshape the internet economy. It also said privacy and capability no longer need to be treated as a trade-off.
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