Product

Voice-agent evaluation that ends in a release decision.

Run real calls, trace what happened, and decide which workflows are safe to ship under the conditions your callers actually bring.

Illustrative evaluationAppointment scheduling
Call in progress
Caller · 00:18

“Can you move my appointment to Friday afternoon?”

Agent listening
Evidence stream3 of 4 checks complete
  1. 01
    Identity verifiedDate of birth matched
    Pass
  2. 02
    Tool call correctschedule.update()
    Pass
  3. 03
    Policy disclosureConsent language missing
    Review
Release decisionBlocked by one policy requirement
View evidence
Illustrative evaluation data showing how call evidence informs a workflow-level release decision.

One continuous system

From test call to the next regression.

  1. 01

    Evaluate

    Real voice calls and reusable test sets · Caller personas, accents, and languages · Audio, IVR, DTMF, and tool-state conditions

  2. 02

    Diagnose

    Audio, transcript, trace, and tool evidence · Failure attribution across the voice stack · Human review for uncertain calls

  3. 03

    Gate

    Workflow-level readiness decisions · Evidence-backed partial rollout · Machine-readable CI results

  4. 04

    Learn

    Production incidents to regressions · Historical replay and synthetic variants · Voice Workflow Memory