Relyable was built by a team that develops voice agents and treats testing as a first-class part of shipping them. Rather than rely on human spot-checks, it uses AI to create personas and scenarios that mimic real callers — old and angry, young and confident, different accents, moods and goals — and then runs those conversations in parallel against your deployed agent. Each call is analysed automatically, so problems surface before a single real customer encounters them.
Evaluation is driven by a rubric you control. You can weight criteria such as end-to-end task completion, freedom from fabricated policy or pricing, stable customer sentiment, clean interruption handling, latency under a p95 target and appropriate out-of-scope handoff. Relyable tracks pass rates and seven-day trends for each criterion, giving a quantified picture of whether a change helped or hurt.
In production, the platform becomes a monitoring layer. Live calls are logged and scored in real time, and Relyable pages you only when a threshold is crossed — through Slack, email, PagerDuty, Opsgenie, Linear or a webhook. The company is headquartered in Melbourne, Australia, and is associated with NVIDIA Inception, ElevenLabs Grants and Microsoft for Startups.
