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What is Okareo?

Okareo is a testing and evaluation platform for AI agents, built to simulate real users and ensure reliable voice and text interactions. Developed by a team focused on agentic AI quality, it solves the problem of brittle QA scripts that miss edge cases in conversational AI. The core capability is synthetic users called Drivers, which have personality, context, and goals, engaging in multi-turn conversations to expose unexpected behaviors. Okareo supports both voice and text modalities, with features like audio replay, transcript traces, and CI integration for eval gates. It fits workflows for teams building customer-facing voice agents, chatbots, or any LLM-powered conversational system. Users include conversation designers, engineers, ML practitioners, and QA teams who need to catch regressions before shipping. The platform also offers a closed-loop system where production failures become new test scenarios, continuously strengthening the test library.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMNLPSpeech Recognition
Purpose of Tool

To simulate real users and evaluate AI agent behavior across voice and text conversations.

Compatibility

Integrates with CI/CD pipelines and supports 120+ languages and locales.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

Synthetic user Drivers with personality and goals

Multi-turn conversational testing

Voice and text agent support

Unified timeline for audio, transcript, and trace

Exploratory edge case discovery

CI/CD integration with eval gates

Production failure loopback to tests

Cross-functional team workspace

How It Works

1

Create a Driver

Define a synthetic user with personality, context, and a goal.

2

Run Simulations

Drivers interact with your agent across multi-turn conversations.

3

Analyze Results

View audio, transcript, and trace on the same timeline to debug.

4

Integrate into CI

Wire Okareo into your pipeline to gate releases on eval scores.

Who Is It For?

Conversation Designers

AI Engineers

QA Teams

ML Practitioners

Product Managers

Customer Support Teams

Startups

Enterprise Teams

Voice Agent Developers

DevOps Engineers

Pricing

Free

$0/free
  • Limited drivers
  • Basic evals
  • Community support
Popular

Pro

$99/monthly
  • Unlimited drivers
  • Advanced evals
  • CI integration
  • Priority support

Enterprise

Custom/monthly
  • Dedicated support
  • Custom integrations
  • On-premise option
  • SLA

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Pros & Cons

Pros

  • Uncovers edge cases that traditional QA scripts miss through exploratory synthetic users.
  • Integrates seamlessly into CI/CD pipelines, enabling automated evaluation on every commit.

Cons

  • May require initial setup and configuration to define synthetic user personas and goals.
  • Pricing details are not publicly listed, potentially limiting accessibility for small teams.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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Analytics of RAG Optimization: Techniques to Make your RAG Faster, Cheaper, and More Accurate

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

1.97K

-61.7% vs prior month

Avg. visit duration

00:00:52

M 4 2026 snapshot

Pages / visit

2.11

M 4 2026 snapshot

Bounce rate

35.99%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

393.2893.031.39K1.89K2.39KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 2.39K (Feb 1, 2026)Low week: 393.2 (Apr 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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