Why we started this
At the frontier — inside Anthropic's AI-safety work — you learn two things at once: what these models can really do, and exactly how they fail. Meanwhile, out in the market, businesses were paying agencies for AI that demoed beautifully and broke in production, with nobody accountable for the outcome.
DeepRails was founded in 2024 to close that gap from both ends: a patented platform that catches and corrects AI mistakes in real time, and a senior team that builds on those rails — close enough to the work to put the outcome in writing.
Today that combination protects 500K+ users with zero safety failures, has saved clients over $10M, and lets us do the thing the rest of the industry won't: guarantee ROI.
One team, four years building together
Frontier AI-safety research and enterprise delivery, in the same room. Senior operators only — the people on your first call are the people who ship your system.
Anthropic
A short history of DeepRails
The founding team forms across frontier AI research and enterprise consulting — Northwestern, UC San Diego, and HEC Paris on the diplomas, 40+ combined years in GenAI on the clock.
One thesis: AI is only worth what you can trust it to do. We start building the rails that detect and correct AI mistakes in production — and filing the patents behind them.
Quiklearn grows students 100x on AI we protect. LearnWithAI goes from 20% to 99% accuracy. TeachTap 4x's revenue. 500K+ users, zero safety failures.
Nightingale College banks $10M in savings. We build Permeos for the former Dean of Harvard Business School — the AI nobody else could build. With the track record in hand, we start guaranteeing ROI on every engagement.
Three rules we don't break
Every engagement opens with your top three business goals — never a technology pitch. The AI is chosen to serve the number.
We publish detection rates, savings, and failures — and state the caveats. If we can't measure it, we won't claim it.
The person you meet on the discovery call is the person accountable for your outcome. No handoffs to the bench.