Voice AI Testing That'sBoth and
Why Voice AI Testing Is
Scaling voice agents to production without rigorous testing is a recipe for disaster. Traditional methods just don't cut it anymore.
Manual Testing Hell
Your team wastes hours making test calls, taking notes, and trying to reproduce edge cases. It's slow, expensive, and doesn't scale.
Blind Automation
LLM evaluations miss nuances, hallucinate results, and give you false confidence. You can't trust them for production releases.
Production Failures
Bugs in production destroy customer trust and cost real money. One bad conversation can mean lost revenue and damaged reputation.
Olympus EchoHuman-in-the-loop
The Best of Both Worlds.
We're the only platform that combines automated testing at scale with expert human verification. Stop choosing between fast and correct.
Automated Scale
Run thousands of concurrent simulated calls via Twilio or WebSockets to stress-test every edge case.
Expert Human Verification
Catch the nuances that AI might miss with optional human-in-the-loop verification for critical flows.
Why teams choose Olympus Echo?
Fewer missed edge-cases, faster release cycles, and QA you can trust — whether you're a platform vendor or enterprise contact center.
AI-to-AI conversation simulation
Spawn thousands of AI-to-AI conversations where Olympus Echo's tester agent talks directly to your Voice AI agent to uncover logic, prompt, and flow failures before production.
Provider-agnostic adapters
Works with Twilio, Vonage, custom SIP/WebSocket stacks and in-house voice platforms — plug & play adapters make integration painless.
LLM-driven Voice AI evaluation engine
Automated evaluation agents analyze full AI-to-AI conversations against intent handling, slot filling, compliance, tone, and task completion criteria.
Evidenced transcripts + recordings
Full transcripts, call-recordings, and timestamped evaluation logs provide auditable evidence for QA and compliance audits.
Human-in-the-loop verification
Trusted human reviewers augment LLM judgements for high-stakes flows — ensuring production-grade accuracy and compliance.
Closed-loop fixes
Failed tests feed directly into issue trackers or your CI/CD pipeline so engineering teams can reproduce and resolve problems fast.
How it works — in
4 simple steps
From test creation to verified evidence — Olympus Echo puts observability and accountability at the core of Voice AI agent QA.
Create test suites
Define scenarios, success criteria, and edge-case variants (caller tone, accents, background noise).
Run AI-to-AI calls at scale
Automated test runs where a tester Voice AI simulates real users and conversations end-to-end.
Automated LLM evaluation
Explainable LLM agents apply your criteria, flag failures and produce structured evaluation logs.
Human verification
Human reviewers verify critical or ambiguous cases and create actionable tickets for your engineers.
Burst Test Run