Built by former leadership from:
A methodology for taking AI systems from proof-of-concept to production-grade reliability. Because the demo always works – the question is whether it works at 99%+ when your business depends on it.
Built by former leadership from:
Demo
Every team gets here. A working prototype, an impressive demo that generates excitement. With today's tools, this takes hours.
Zero competitive advantage — your competitors can build the same demo.
Better Demo
Some experienced teams push into this range. Better prompts, more data, a few iterations. This is where most projects get –
Good enough to keep funding, too unreliable to put in front of real users.
Production
This is where Evidence-Based AI Engineering operates. Producing deterministic outcomes with stochastic systems.
Almost nobody does this – it requires a discipline most AI organizations haven't built yet.
Business problem first, technology second.
Natural language queries on complex databases. Replaced analyst bottlenecks. Deployed in 4 weeks.
Coaching insights, deal risks, next actions — extracted from recordings at scale.
Scattered conversations turned into searchable institutional memory.
0 → 1
You have an idea. We validate, scope, and ship a working system in days to weeks. Not a prototype — something real enough to deploy.
POC → Production
Your prototype works sometimes. We find the failure modes, build guardrails, and harden it into a system that performs under real conditions.
Ongoing
Senior AI expertise without a full-time hire. Vendor evaluation, build-vs-buy, roadmap planning, team guidance.
Mirable stays your point of contact as your system evolves. As needs grow, we scale through senior team members and trusted partners — accountability stays with us.
Enterprise cloud infra when you need it.
Lean and fast when you don't.
No over-engineering. No under-building.
If compliance matters — SOC2, SOX, GDPR experience from regulated environments.
We build AI your security team will approve.
You have clarity, authority to move, and need senior execution.
25 years building technology organizations — from startup chaos to public company scale. Led 250+ engineers and data scientists as Chief Data Officer. Four-time startup CTO.
Now I work directly with a small number of clients on AI systems that matter.
Full background25 years building technology organizations — from startup chaos to public company scale. Led 250+ engineers and data scientists as Chief Data Officer. Four-time startup CTO.
Now I work directly with a small number of clients on AI systems that matter.
Full background