FOR AI-NATIVE BUILDERS
Your AI works in demos.
We make it work for users.
You shipped a product that impresses investors and lands LOIs. Then real users arrive — and it drifts, hallucinates, and breaks on the edge cases you never tested.
Built by former leadership from:
The product was built on prompts and intuition. It got you to a demo that works — most of the time. But there's no measurement infrastructure, no evals, and no way to tell whether a change made things better or worse. Your customer success team is quietly shielding the model from users, and that doesn't scale. You know something's wrong; you just don't know what you don't know.
Most AI consultants can advise on a misbehaving agent. We can actually fix it.
What we do
We read your code and find what's missing in the reliability stack. We build the evals you should have had from the start — business-specific, pass/fail, and impossible to game — so every change is measured, not guessed. We refactor the agent loop so it stops going off-rails on turn three. And we leave you with behavior you can predict and the evidence that it works.
This is senior engineering with hands on the keyboard, not advice from the sidelines — the equivalent of a senior AI hire, without the equity hit or the months-long search.
Proof, not promises
A few systems we took from unreliable to production-grade — same models, better engineering.
40% → 95%
AI Enrichment Pipeline
A sixteen-pattern mega-prompt, decomposed into testable steps. Same models, same data.
Read case studyFrontier → edge
Edge AI for Financial Documents
Frontier-grade results on edge models — by reframing reasoning as classification.
Read case study~50% → 95%
Survey Analytics Agent
Stopped treating spreadsheets as text, started treating them as databases.
Read case studyWhat working together looks like
Clear scope, real outcomes
- • Engagements run 2–12 weeks
- • Weekly progress updates
- • Full documentation, no black boxes
You own what we build
Working code, evals, and instrumentation your team keeps — no lock-in. Mirable stays your point of contact as the system evolves, and as needs grow we scale through senior team members and trusted partners — but accountability never leaves us. Enterprise cloud infrastructure when you need it, lean and fast when you don't. No over-engineering, no under-building.
SECURITY & COMPLIANCE
AI your security team will approve.
If compliance matters, it isn't an afterthought. SOC 2, SOX, and GDPR experience from regulated environments — including building AI at Lemonade, a publicly traded insurer. We design for the review your security and legal teams will run, and build to pass it.
Facing a similar problem?
If your AI system works in demos but not reliably in production, let's talk.