Ship AI that actually works.
One score. Five-minute setup. Ship every release with confidence.
You shipped. But did it get better?
Every team asks these after every release. Most can't answer confidently.
“Did that prompt change actually improve accuracy?”
It felt better on a few examples. But across 50k requests?
“Is the system faster, or just feeling faster?”
Three dashboards open. Still not sure.
“Which component broke when the score dropped?”
By the time you find out, users already noticed.
You need one number that tells you.
How it works
Three steps. Thirty minutes.
Connect
Link your GitHub repos, LangSmith workspace, and OTel collector in under 5 minutes.
Define quality
Create Eval Cards that declare what matters, set thresholds, and choose what gates a release.
Ship
Your Quality Index updates every release. Regressions trigger automated PR fixes.
Four pillars
Quality, decomposed
One score is powerful. Knowing why it moved is what lets you fix things.
Task Quality
92- Know if accuracy improved across 50k requests
- Catch hallucinations before users report them
- Track retrieval precision release over release
Reliability
88- Spot error spikes the moment they happen
- Track tool-call success in agentic workflows
- Burn-down error budgets against your SLOs
Efficiency
85- See exactly where latency hides in your pipeline
- Know the dollar cost of every single request
- Find cache-miss waste before it hits your bill
Safety
94- Guardrail pass rates across every request
- Catch PII leaks and policy violations instantly
- Safety gate blocks releases until violations clear
Auto-fix regressions
Score drops. Root cause identified. PR drafted. You review and merge.
Runs on your infra
Single Docker image. Your data never leaves your network.
Self-hosted from $50/mo
No per-GB fees. No surprise bills. Flat rate per workspace.
Dashboard
See regressions before your users do
One glance. Every signal. Know what's healthy, what regressed, and exactly what to do next.
Remediation inbox
Context Precision dropped 15% on product-search
Eval Card #12 triggered
PR #42 merged: updated chunking strategy
Fix deployed · score recovered +4
PR #43 drafted: tune retrieval top_k from 5 to 3
Auto-generated fix · awaiting review
FAQ
Common questions
APM tells you if your API is slow. It can’t tell you if your AI is hallucinating. We unify runtime telemetry with eval scores into one number that measures whether your AI is actually improving.
Yes. Single Docker image. Run docker compose up and you’re live. No usage limits on telemetry ingestion.
Never. AI pipelines generate massive telemetry. We charge a flat rate per workspace, regardless of volume.
We detect the regression, pinpoint the cause, and draft a GitHub PR with the fix. You review and merge. We never push directly.
Yes. Start with just OpenTelemetry or GitHub. Each connector works independently. Add LangSmith later if you need it.
Under 30 minutes. Connect one source and we generate a baseline score immediately.
Ready to ship AI that actually works?
Deploy in minutes. Your first Quality Index in under 30.
Self-hosted option from day one. No vendor lock-in.