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Okareo

Test and evaluate voice and text AI agents with synthetic users before shipping.

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About

Okareo is an AI agent testing and evaluation platform for teams shipping voice and text agents to production. Instead of hand-written test scripts, teams define synthetic users with goals, personalities, and context, then run them against the agent in parallel to surface edge cases. Voice agents can be tested across more than 30 languages under realistic audio conditions like background noise and interruptions.

Evaluations combine LLM judges, deterministic checks, and audio-specific metrics, scoring task completion, tone, policy adherence, and latency. Results plug into CI/CD so pull requests can be gated on conversation quality, and production failures can be converted back into synthetic test scenarios.

What it can do

  • Synthetic user simulation at scale
  • Voice testing in 30+ languages
  • LLM-judge and deterministic evals
  • CI/CD quality gating
  • Production failure replay as tests

Setup

Sign up for the 14-day trial; install the TypeScript or Python SDK.

Prerequisites

An AI agent or LLM app to test; CI provider for gating (optional).

Use cases

llm-evaluationai-agentsvoice-aici-cd

Works with

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 126; Trending score 74/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.