AI Agent Verification Infrastructure

Verify your AI agents complete the business outcome — before you ship.

The CI/CD layer for enterprise AI agents. We generate realistic users, run them against your real pre-production environment, and verify the intended outcome actually occurred.

Runs inside your VPC Evidence-backed reports

Verified before you ship. SimTrace confirms the intended business outcome across every user, tool and system.

How It Works

From scenario to ship decision

One pipeline that proves your agent works — before real users meet it.

01
Generate
Realistic users — diverse intents, edge cases and adversarial behavior — grounded in your product.
02
Execute
Run scenarios against your real staging: real tools, APIs, permissions and system state.
03
Verify
Confirm the intended business outcome actually occurred across a multi-tier evidence model.
04
Report
An evidence-backed reliability report with thresholds you define for an accountable ship decision.
Evaluation & Insights

Every run is an evidence-backed reliability report

Not a single benchmark score — a reliability landscape your team can ship against, with a documented, accountable deployment decision.

  • Task completion by user type
    See exactly where reliability degrades — by user, scenario and system condition.
  • Failure modes & blind spots
    Which scenario failed, why, and the evidence behind every diagnosis.
  • Coverage map
    What was tested, what wasn't, and which workflows remain unverified.
  • Regression analysis
    Every run compared to the last — catch regressions before production.
agent-reliability-reportREADY TO SHIP
0.0%reliability
Scenarios run0
Systems covered0
Ship threshold90%
vs last run +3.1%
Expert users97%
Returning users91%
Novice users81%
Adversarial inputs74%
Refund flow stalls for novice usershigh
Tool retry loop on rejected ordermed
Why SimTrace

Observability tells you what happened. SimTrace tells you what will.

LLM evaluation

Did the model respond well?

AI observability

What happened in production?

SimTrace

Did the business workflow actually succeed — before release?

Who It's For

Teams accountable for agents in production

Enterprise workflow teams

Customer-facing agents across CRM, ERP, payments and ticketing — with go-lives that can't slip.

AI-native agent companies

Shipping to many enterprise customers, each with distinct workflows and definitions of success.

Regulated enterprises

Healthcare, finance and insurance — where data can't leave and failures carry compliance risk.

Ship AI agents that actually do the job.

Verify the business outcome before your users — and your auditors — do.