Why Codrison
Most AI projects fail after the demo. Ours are built for the year after.
Six practices separate an AI system that survives contact with production from one that quietly gets switched off. We do all six, on every engagement.
01AI-first by designWe do not retrofit intelligence onto a finished system. The architecture assumes models, evaluation and human oversight from the first diagram.
02Evaluation before releaseGolden sets built from your history gate every deploy. No release passes on a demo.
03Process before modelTwo weeks of tracing the real work precedes any build. It routinely shrinks the scope and improves the business case.
04Human-in-the-loop by defaultConfidence thresholds, escalation paths and approval steps are designed in, not added after an incident.
05Operated, not abandonedDrift monitoring, on-call and a monthly improvement cycle are available from day one of production.
06Yours to ownYour repositories, your cloud accounts, your data — documented well enough for your team to take over.
By the numbers
2026Founded
5Production systems shipped
3+Years of engineering experience behind Codrison
The usual approach
- A pilot that impresses in a meeting room
- Success judged by demo, not by measurement
- Edge cases discovered in production, by customers
- A handover document and a phone number that stops answering
- Vendor-hosted, vendor-owned, vendor-priced
How we work
- A vertical slice in production, used by real people, in weeks
- A golden set from your own history gating every release
- Exceptions mapped in discovery and routed to a person
- On-call, drift monitoring and a monthly improvement cycle
- Your cloud, your repositories, your data, from day one