The system of record for AI quality
It already happened.You just haven't seen it yet.
It connects your business objectives with evidence, guardrails, outcomes, and the customer-facing results. Built for AI Agents, conversational chatbots and multi-agent, multi-turn AI apps.
Choose a domain, then click any turn. Turn3 connects business outcomes, evidence, guardrails, and the customer-facing results.
Domain
session · prior-auth-assistant · member ****1842 · 8 turns
session closed
1PatientWhy was my specialty-med request denied—and how do I appeal?
2AgentI’ll check the authorization case, payer decision code, and appeal requirements.
3AgentPayer returned PA-17. I’m treating it as a medical-necessity denial.ROOT CAUSE
4AgentI’ll search the medical-necessity appeal policy for the next steps.
5AgentThe chart shows a prior therapy attempt that may support the request.
6AgentI’ll prepare the customer-facing explanation and list the documents to attach.
7AgentDenied for medical necessity. ID 004182; asthma diagnosis.BLOCKED
8AgentPA-17 needs step-therapy documentation. Here’s the appeal checklist.
1root cause identified
3tool calls reconstructed
1PHI response rewritten
8¢estimated evaluation cost
No lock-in, by design
Finds the turn for agents on your stack.
Turn3 identifies the breaking turn for conversational and agentic apps on the frameworks you use — and pulls governed telemetry from Databricks, Snowflake, Azure Foundry, AWS SageMaker, and Gemini with no exporter changes. there's no proprietary SDK and no lock-in. Deploy in your VPC with prompts redacted at the edge.
end-to-end pipeline
Built with subsystems you can exercise today.
Inline Turnguard guardrails
Tenant-scoped API
Failure clustering
Enforced OIDC auth
Python + TS SDKs
Issue lifecycle + regressions
Self-host stack
Billing and entitlements
Single pane Dashboard
So, how it works?
Session-native, end to end
One pipeline built on the session, not the request — purpose-built for multi-turn conversational agents and tool-calling agentic apps.
1
See the session
2
Judge the outcome
3
Cluster failures
4
Stop the regression
The closed loop - Every failure makes it better
The regressed state catches the bug that returns after a provider silently updates the model — the thing nothing else tells you.
Production traffic
Every session scored
Failure detected
Clustered by root cause
Tracked issue
Active / Resolved / Regressed
Eval Generated
Failure becomes a test
Available in Enterprise
Session-aware protection with Turnguard - now shipping
Then stop itinline.
Yesterday's failures become today's inline defense. Turnguard evaluates every response in the request path — sub-200ms, fail-open — and because it reads the same live session state that powers judging, it catches what ordinary guardrails can't: an answer that contradicts what the user established at turn 3.
Start free. Pay for the quality loop.
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