What is Relyable?
Relyable automates testing and monitoring for AI voice agents, providing simulated conversations, persona-based scenario generation, and automated call execution. It imports agents via native integrations (Vapi, Retell) or API, enabling quick setup and direct routing for live call monitoring.
Users can generate and customize test cases and personas, run hundreds of automated test conversations, and evaluate interactions against configurable metrics such as latency, sentiment, intent accuracy, and customer satisfaction. Real-time alerts and live call monitoring surface failures and regressions, while aggregated analytics and reports track performance trends and compliance indicators.
AI agencies, startups, and enterprises can scale evaluation workflows, reduce manual QA effort, validate agent behavior across scenarios, and maintain continuous post-deployment monitoring. The platform supports no-code integrations, webhook redirects, and API access for automated workflows and system integration.
Relyable pricing Subscription
Verify on the official pricing page.
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Relyable's key features
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Automated testing of AI voice agents with bulk simulated calls
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Live call monitoring with real-time logging and instant alerts
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AI-generated test cases, personas, and conversation scenarios
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Native integrations and API/webhook support (Vapi, Retell, API key)
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Built-in analytics and evaluation metrics (latency, sentiment, customer satisfaction)
Relyable use cases
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Validate AI voice agent performance with Relyable by generating persona-based scenario tests, executing bulk automated calls, and measuring intent accuracy, sentiment, latency and CSAT to find and fix conversational failures before launch
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Continuously monitor post-deployment voice agents with Relyable using live call monitoring, real-time alerts and analytics, tracking trends in intent accuracy and user sentiment and triggering API/no-code integrations when thresholds are breached
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Run regression and A/B tests for voice agent updates with Relyable by simulating conversations across personas, comparing aggregated metrics (latency, CSAT, intent accuracy), and using bulk automated calls and live monitoring to ensure improvements roll out safely
Who is it for?
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Software developers
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Quality assurance analysts
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Product managers
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Customer success managers
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Operations specialists
