Engineering service
AI & Data Proof-to-Production
Move an AI or data prototype into an operated production capability with evaluation, release gates, serving, monitoring, rollback, and ownership.
Buyer question
What is missing between our working prototype and a production capability that operations can depend on?
A model works in a notebook but has no production acceptance criteria.
Teams cannot compare model versions consistently before release.
Latency, error, drift, data quality, and feedback are not monitored together.
Rollback, incident response, and model ownership are undefined.
What we deliver
Production-readiness assessment
Evaluation and release-gate design
Versioned model serving architecture
Telemetry, drift, and quality monitoring
Rollback, governance, and operating runbooks
Typical architecture path
1Data pipeline
2Evaluation
3Model registry
4Serving
5Monitoring + feedback