Your AI, built by people who built AI at 
Anthropic.
Most agencies hand your project to whoever is available. At DeepRails you work directly with the founder — a former Anthropic AI-safety researcher — backed by senior operators from EY, PwC and Morgan Stanley. The people on the first call are the people who ship your system.
"Everything is engineering now — AI and engineering. Whatever your top three business goals are, that's where we start. The technology follows."
Anthropic
This is not a typical
agency engagement
- Your project goes to whoever is on the bench
- Bills for effort — hours, sprints, change orders
- Delivers a strategy deck and a demo
- ROI is your problem after handoff
How the guarantee works
We don't ask you to believe a forecast. You already know what the process costs you in people, and token cost is predictable within a tight band — so the only real question is whether the automation does the work as well as the people doing it now. That is the part we put our name against.
not our hours
We work out what the process costs you today and what it will cost automated. The build is one fixed fee — roughly a quarter of the first year's saving — agreed before anyone writes code.
acceptance test
Before you rely on it, we run the automation against the work your people are doing now and measure the difference. You see those numbers, not a demo.
We keep building
The fee is fixed, so if the automation doesn't reach that standard we carry the cost of getting it there — not you. Then six months of support after go-live. It's also why we scope carefully before we commit.
Don't take our word for it.
The numbers speak.
92% AI–human grading alignment — evaluation cost cut from ~$50/hour to under $1 per video.
500K+ students served with zero safety failures while DeepRails protected AI tutors in production.
Evaluation infrastructure turned unreliable AI-generated K-12 math into production-grade quality.
Permeos — an AI-native leadership platform built for the former Dean of Harvard Business School.
One partner, from strategy
to shipped system
Zero-to-launch AI product delivery, roadmap shaping, and GTM alignment.
LLM integrations, RAG pipelines, agents, evals, and production systems.
Workflow replacement and decision automation with measurable leverage.
Executive AI strategy, vendor evaluation, and architecture review.
Business first.
Then the build.
No multi-month discovery, no 80-page strategy decks. We start from your business goals and engineer backwards to the AI that pays for them.
Our methodology in full →Bring three things: your top three business goals, your monthly dev budget and headcount, and your AI spend. That's the whole prep.
A clear scope: deliverables, milestones, team, and one fixed price — set as a share of the saving the automation creates, not a rate card.
Our team embeds with yours — build, evaluate, harden, deploy on our own guardrail infrastructure. Most builds land in that window; genuinely complex ones take longer and we'll say so up front.
We measure the automation against the people doing the work today. If it falls short we keep building at our cost, then support it for six months.
Where the stakes are highest
Clinical-grade accuracy where a hallucination is a liability — audited end to end.
Tutoring, grading, and content generation students already trust at scale.
Automation and analysis where a wrong number costs real money.
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, 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. Their ability to evaluate, explain, and remediate LLM output quality at speed is unlike anything we have seen from the market.