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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.
4.5/5
High, consistent, and on-brand
Clean and minimal
To simulate real users and evaluate AI agent behavior across voice and text conversations.
Integrates with CI/CD pipelines and supports 120+ languages and locales.
Freemium with paid tiers
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
Conversation Designers
AI Engineers
QA Teams
ML Practitioners
Product Managers
Customer Support Teams
Startups
Enterprise Teams
Voice Agent Developers
DevOps Engineers
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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