Why Most AI Fails—and How We Build Around It

Our point of view, shaped by building and backing AI companies.

According to MIT research, 95% of AI projects fail. Here's how we build to beat the odds.

The Pitfall	How We Build Around It
Hype over focus	One focused MVP that solves a single real problem
Dependency on frontier providers	Own the model and the lab—local AI when it fits
Privacy and data exposure	Local hosting on our own GPUs
Pilots that never ship	Build to a fundable MVP, not a slide deck

See what this looks like in practice on our Companies page.