Test AI agents before they go live
Real-World
AI Agent Readiness
Most evals validate expected responses. Readiness proves how agents perform with real customers.
Accuracy score
Per persona, per model
hallucination rate
Scored with accuracy
policy compliance
Domain and region
safety index
Bias, misuse, refusal
Catch failures at the source
Component testing. Earlier and cheaper.
Catch failures at the API layer and live carrier leg, in volume, while a fix is still cheap – then a small end-to-end set is enough to prove the journey works.
From business context to test coverage
Autogenerated tests. Faster time to value.
Autogenerate tests from your business context and vertical, with a prompt coach sharpening every objective before it runs. Productive and cost effective on day one.
Test freely across AI models
LLM agnostic.
No rebuild bill.
Test with any of our models or bring your own, across 60+ AI agent connectors. When your agent’s model changes, the tests you have already built still run.
Built around your business
Objectives and personas from your domain.
Writing a good agentic test used to mean writing a good prompt. Start from the other direction – define your domain, whether that’s banking, retail, or insurance, and it automatically generates the personas and objectives that fit that world. If an objective is too vague, a built-in coach helps refine it before you run the test, so new testers can be productive without already being prompt experts.
- Domain-tuned, not generic
- Age, gender, accent, and language persona
- Voice, tone, vocabulary, behavioral traits
- Acoustic delivery and localization
- Customizable with your own persona data
- Goal-oriented, not scripted
Test beyond the transcript
Real-world audio conditions
A transcript doesn’t tell you what was said. It tells you what speech recognition thought was said — on a clean line, in a quiet room, with an accent it was trained on. Evaluate against that and you’ve handed your agent a perfect reading of the caller, which is exactly what a real call won’t give it. Run every persona through the conditions calls actually arrive in: background noise, interruptions, code-switching, dialects, and the real carrier leg.
- Every major language and dialect
- Real-world scenarios – airport, cafe, car, playground
- Interruptions and mid-call barge-in
- Code-switching mid-call
- Real carrier leg, real audio
- Voice telemetry – latency, jitter, packet loss, MOS – every run
More coverage. Less manual effort.
The automated golden dataset matrix
Most teams write tests for every path they can think of. Start with the objective instead: what’s the outcome the agent needs to achieve? That objective is then tested across personas, scenarios, and models, generating thousands of variations automatically. The result isn’t just more test cases. It’s a matrix that exposes patterns and weaknesses a human reviewer would otherwise spend weeks trying to find, helping teams catch regressions before launch.
- Identity and passcode checks
- Disclosure and refusal boundaries
- Escalation to a human
- Negative tests included
- Every persona (language, dialect) x scenario x model
- Re-run at model updates
Build trust into every test
Compliance & safety, not an afterthought
Capability is usually tested first. Safety, compliance, and governance become a separate project that shows up later with a different checklist. Bring them together – evaluate bias, misuse, hallucination, and regulatory requirement alongside performance, with frameworks loaded automatically based on your domain and region. Every persona. Every scenario.
- Bias checked per persona
- Misuse, PII, and jailbreak attempts
- Priming and prompt injection
- Hallucination scored with accuracy
- Legal and privacy risk mitigated
Beyond traditional AI evaluation
Built for enterprise voice and CX
Generalist eval tools score transcript correctness. They do not score against real audio, a real carrier leg, or the conditions a customer call actually arrives in, and they produce no voice telemetry at all.
| Capability | Generalist eval tools | Cyara readiness |
|---|---|---|
| Audio-native scoring | No | Yes |
| Voice and CX-specific personas | No | Yes |
| Real carrier leg | No | Yes |
| Barge-in and interruption handling | No | Yes |
| Voice telemetry: latency, jitter, packet loss, MOS | No | Yes |
| Compliance frameworks by domain and region | No | Yes |
Real-World Readiness
Proven at
enterprise scale
Proof before launch. Vigilance in production
450+
enterprises
350M+
Journeys
60+
AI agent
connectors
Assure every journey before customers
End-to-End Journey Testing
Components that pass in isolation must survive the journey around it. Validate the full path as one continuous flow — voice to SMS, agent to human — including the parts your agent vendor can’t see.