Production AI Eval Infrastructure
Most teams shipped AI features with zero evals. We build eval harnesses, regression suites, online quality monitoring, and A/B infra for prompts and models.
- Outcome
- An eval platform wired into your CI/CD
- Timeline
- 4–8 weeks
- Pricing
- $30–80k build + $3–8k/mo ops
- Buyer
- VP Eng, Head of ML / AI Platform
The problem
You shipped AI features with zero evals. Every prompt or model change is a blind deploy, and the cost of a bad output only shows up after it reaches a customer.
What we do
- Build eval harnesses and regression suites for your prompts and models.
- Add online quality monitoring and alerting for production traffic.
- Stand up A/B infrastructure for prompts and model swaps.
- Wire it all into your CI/CD so quality is a gate, not a guess.
What you get
01An eval platform integrated into your CI/CD
02Regression suites that block quality drops before deploy
03Online quality monitoring with alerts
04A/B infra for prompts and models
Built on our open source
openclawOS — An OS-like architecture for AI assistants — a kernel-based design with process-isolated apps.
Let’s scope it on a call
Thirty minutes with an engineer. We’ll tell you straight whether this is the right first move for your team.