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The system of record for AI quality

It already happened.
You just haven't seen it yet.

Turn3 is built for conversational agents and agentic AI apps. Your agent misreads context at turn 3. The customer sees garbage at turn 8. Every reply in between looked fine. Turn3 finds the turn that broke, and turns every failure into a test.

Somewhere in your traffic, it's turn 3.
See a broken session

Choose a domain, then click any turn. Turn3 connects reasoning, tool evidence, guardrails, and the customer-facing result.


Domain
session · prior-auth-assistant · member ****1842 · 8 turns
session closed
1PatientWhy was my specialty-med request denied—and how do I appeal?goal captured
2AgentI’ll check the authorization case, payer decision code, and appeal requirements.session stitched
3AgentPayer returned PA-17. I’m treating it as a medical-necessity denial.tool: payer-statusROOT CAUSE
4AgentI’ll search the medical-necessity appeal policy for the next steps.tool: policy-search
5AgentThe chart shows a prior therapy attempt that may support the request.tool: chart-summary
6AgentI’ll prepare the customer-facing explanation and list the documents to attach.drafting
7AgentDenied for medical necessity. ID 004182; asthma diagnosis.Turnguard: PHI + unsupported reasonBLOCKED
8AgentPA-17 needs step-therapy documentation. Here’s the appeal checklist.safe rewrite delivered
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. Standard OpenTelemetry underneath, so there's no proprietary SDK and no lock-in. Deploy in your VPC with prompts redacted at the edge.

LangChain

LangGraph

OpenAI Agents

Anthropic Claude

ChatGPT

Databricks Agent Bricks

Snowflake Cortex AI

Azure Foundry

AWS SageMaker

Gemini Agents

OpenTelemetry

OpenInference

OpenLLMetry
end-to-end pipeline

Built with subsystems you can exercise today.

Frontier-model judges

Inline Turnguard guardrails

Eval CI gate

Tenant-scoped API

Failure clustering

Enforced OIDC auth

Python + TS SDKs

Issue lifecycle + regressions

Self-host stack

Billing and entitlements

Single pane Dashboard

Session Analysis

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

Reconstruct every trace into a session with a goal — turns, tools, sub-agents.

2
Judge the outcome

Frontier-model judges score goal completion and attribute the breaking turn.

3
Cluster failures

Group failures into tracked issues: active, resolved, and regressed.

4
Stop the regression

Auto-generate evals; gate CI so a fixed bug can't ship twice.

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.

Sub-200ms p99, in the request path
Session-aware contradiction checks
PII / toxicity on CPU encoders
CEL policies: allow / block / rewrite / flag
Fail-open by default
SDK + gateway insertion
See Turnguard in action

Start free. Pay for the quality loop.

Free

Distribution
$
00
/mo
Select Plan
100 sessions/mo · 7-day retention

  • • Session diagnosis + cluster preview
  • • OTLP / SDK ingest
  • • Heuristic screening
  • • 2 seats
Zero friction. The failure glimpse, free.

Pro

The quality loop
$
1990
/mo
Select Plan
10K sessions, then $1.99/1K
  • • Frontier judging & causal attribution
  • • Issues, regression matching, evals
  • • CI/CD gates + cost controls
  • • 365-day retention · 10 seats
Self-serve via Lemon Squeezy

Enterprise

Trust at scale
Contact us
Select Plan
Priced to your scale

  • • Turnguard - Session aware protection, bundled
  • • Sub 200ms inline response protection
  • • Self-host in your infrastructure
  • • SSO & audit trails
  • • Governed warehouse sharing
For AI that touches customers and money.

Somewhere in your traffic,
it's turn 3.

Let us show you where.

Book a failure review