Designing reliable IVR systems and voice agents means validating every step, prompt, and decision path before real callers ever touch the system. Cekura gives teams scripted testing tools that simulate real-world callers, check conversational accuracy, and surface issues early so voice agents stay consistent at scale.
Build flexible test scripts for any workflow
Cekura makes authoring structured test scripts easy across IVR menus, phone bots, and voice assistants. Teams can define scenarios with branching paths, customizable variables, and reusable components. Scripted evaluations can also be generated automatically from agent descriptions or created manually for complex logic. This flexibility supports multi-node, multi-turn workflows like those used in healthcare and enterprise operations.
Simulate realistic voice inputs
Cekura testing agents speak like real callers. They cover a wide range of accents, background noise profiles, hesitation patterns, and speech speeds. The platform supports multiple personalities, including slow speakers, interrupters, non-native speakers, and custom cloned voices through partners like Cartesia. These simulations allow teams to test Automatic Speech Recognition performance under conditions that match real world customer behavior.
Test IVR and telephony behavior end to end
Cekura integrates with major voice frameworks and telephony providers. It can route calls, trigger outbound testing, and validate infrastructure behavior under different network conditions. Teams can confirm IVR flows, detect silence failures, catch latency spikes, and ensure transitions between nodes are accurate. This level of testing has helped teams successfully migrate entire telephony stacks without regression.
Run automated test executions at any scale
Once scenarios are ready, Cekura can run them automatically in batches or on schedules. Automated runs reveal failures long before they reach production. Teams can perform load tests by running scenarios repeatedly in parallel to measure stability, timing, and infrastructure issues under stress. This makes it possible to validate updates to prompts, models, or backend integrations with confidence.
Validate intent accuracy, prompts, and flow correctness
Cekura evaluates test runs with detailed checks, including:
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Intent and entity accuracy
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Expected outcome validation
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DTMF behavior
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TTS prompt correctness
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Timing and latency
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Fallback accuracy
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Multi-turn state transitions
The instruction-following metric pinpoints deviations from the agent description, while other metrics catch interruptions, unnecessary repetition, hallucinations, and tool call failures.
Access transcripts, audio, and complete call analytics
Every test run includes transcripts, audio recordings, timestamps, and pass or fail summaries. Detailed logs make it easy to pinpoint where a conversation diverged from expected behavior. Trend dashboards help teams monitor progress across test cycles and spot regressions early. These insights allow teams to fix issues quickly and maintain high performance even as the agent evolves.
Integrate testing into every environment
Cekura connects to voice agents across Vapi, Retell, LiveKit, Pipecat, ElevenLabs, and other providers. It supports API-based execution and GitHub-driven CI workflows, allowing test runs to trigger on model updates, prompt changes, or infrastructure shifts. Teams can also simulate production calls by passing real transcripts for more accurate evaluation.
Keep sensitive data secure
Cekura is HIPAA and SOC compliant to ensure safe handling of sensitive customer data. The platform provides redaction of transcripts and audio, role-based access, audit trails, and support for industry compliance needs. These features help companies test and monitor voice agents safely, including those handling healthcare or financial workflows.