

Led by Niraj Patel, who tested Anthropic's AI for safety.




Niraj Patel on how the one-week AI audit works.
Our founder is an ex-Anthropic engineer who tested Anthropic's AI for safety.
DeepRails exists because the AI industry has a trust problem, and the people best placed to fix it were busy building models, not businesses.
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 patent-pending 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 own the outcome.
Today that combination protects 500K+ users with zero safety failures and lets us do the thing the rest of the industry won't: guarantee ROI.
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.
The founding team forms across frontier AI research and enterprise consulting.
One thesis: AI is only worth what you can trust it to do. We start building the rails that catch and correct AI mistakes in production, and filing the patents behind them.
We helped Quiklearn grow its student numbers 100x. LearnWithAI goes from 20% to 99% accurate questions. 500K+ users protected, zero safety failures.
One healthcare-education program reaches 92% agreement with expert graders. We build Permeos for the former Dean of Harvard Business School. Now every build comes with the guarantee.