

DeepRails sits between your AI and your customers. It catches hallucinations (AI mistakes) and fixes them automatically, before anyone sees a wrong answer.
Prescribe penicillin for strep throat.
Penicillin allergy on filePrescribe azithromycin for strep throat.

Niraj Patel tested Anthropic's AI for safety.



DeepRails catches each one and rewrites it before your customer sees it.
Every answer is scored against your own sources, and made-up answers are flagged.
Defend rewrites the wrong answer before your customer ever sees it.
DeepRails Defend scores every answer and tells you why it flagged one, so you can fix the cause.
One API call. Python, TypeScript, Go or Ruby.
The antidote for heparin is vitamin K.
The antidote for heparin is protamine sulfate. Vitamin K reverses warfarin.

Every answer getsFrom clients who run it every day.

Kim B. Clark, former Dean of Harvard Business School and former Commissioner of Education for the LDS Church, chose DeepRails to build Permeos: the first AI platform that doesn't just teach leadership, but measures whether a person is actually becoming a better leader.


I have thoroughly enjoyed working with DeepRails. The work is always professional, precise, and timely.
Over my 45 years in business, I've broken bread with many of the superstars of technology,…
Over my 45 years in business, I've broken bread with many of the superstars of technology, sports, entertainment, venture capital, but none of them matched dinner the other night with the founder of DeepRails, one of the quickly emerging AI superstars of our time. In a word, Epic!
We have embedded DeepRails into two client engagements where the stakes around AI accuracy were non-negotiable.…
We have embedded DeepRails into two client engagements where the stakes around AI accuracy were non-negotiable. Their ability to evaluate, explain, and remediate LLM output quality at speed is unlike anything we have seen from the market.
Whatever AI system you want, our team has built it before: from scaling SaaS products to AI safety, large language models and finance.
One teamSaaSAI safetyLLMsFinanceOperationsEvalsOne of our founders has built and exited multiple SaaS companies.
Every build runs on DeepRails, our own platform for catching and fixing AI mistakes.
Our team came from EY, PwC and Morgan Stanley.
Niraj Patel tested Anthropic's AI for safety.
An AI grader scores a nursing skills video, line by line against the rubric.
DeepRails checks every grade against the rubric your experts wrote. On one healthcare program, the AI reached 92% agreement with expert graders.
What is 3/4 of 12?
It's 8.
It's 9. Three groups of four is 12, so three fourths is 9.
Fixed before the student saw itA tutor's wrong answer is caught and fixed before the student sees it.
DeepRails checks every answer against your course material. 500K+ users protected, zero safety failures.
Every number in a client report is checked against the source data.
One wrong number in a client report costs trust. DeepRails checks each figure before it goes out. Our team came from EY, PwC and Morgan Stanley.
Our team audits your AI and how you work, then hands you a real report with clear ways to cut costs and raise productivity. One simple, one-time cost.
It's the easiest way to start working with the DeepRails development team.
Start on the free tier. Connect through the API.
Send your model's prompts and answers through the API. DeepRails Defend scores them and fixes wrong answers automatically.
Work with a team that came from Anthropic, EY, PwC and Morgan Stanley and has built and scaled SaaS products. Most builds ship in one to six weeks.
Niraj Patel tested Anthropic's AI for safety. He leads every build himself, from the first call to go-live.
Every answer sent through the API is measured by our proprietary technology on six facets: correctness, completeness, safety, context adherence, instruction adherence and ground truth adherence. Wrong answers are corrected automatically and sent back to you.
No. DeepRails works with any model that produces text. You send the prompt and the answer, and DeepRails checks it.
It covers our custom AI development. We start by auditing how your business runs. If you then want us to build what the audit finds, we guarantee the result, the cost savings or new revenue the build is meant to deliver, and our fee is 20% of it. If it doesn't do the job as well as your team, we keep building on our dime.
It's the best of both worlds. You see where money is leaking and where you're missing opportunities. At the end you have a clear game plan: DeepRails builds it, with a roadmap, goals and the savings or revenue to expect, or your own team takes a clear, concise roadmap and builds it. Either way, it's a low-cost way to get a high return.