When building or scaling voice AI agents, you can’t rely on perfect lab conditions. Real users bring background noise, mispronunciations, interruptions, and unexpected inputs. Cekura provides end-to-end phone call simulations that replicate production environments, catch hidden failures, and give you data-driven insights before issues reach your customers.
What Cekura Simulates in Full Call Flows
1. ASR / Speech Recognition Realism
Real conversations include transcription errors. Cekura deliberately simulates ASR imperfections—misrecognitions, partial captures so you catch cases where your agent fails when the speech-to-text isn’t flawless.
2. Speech Variations
Using 50+ predefined and custom “personalities,” Cekura can test with:
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Different accents (Indian, Spanish, American, etc.)
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Varying speech speeds and pauses
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Background noise injection
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Interruption-heavy speakers
This ensures your agent can handle the diversity of real callers.
3. Turn Management and Context Switching
Cekura creates scenarios where callers say things out of flow, change their minds, or contradict themselves. These tests check how well your bot recovers from derailments and maintains context.
4. DTMF / Keypad Input
Beyond speech, many IVR and telephony systems rely on keypad confirmations. Cekura simulates DTMF tones, letting you validate branching flows that depend on menu selection or numeric confirmation.
5. Recordings and Transcripts
Every call simulation includes full audio recording and transcript. Cekura’s metrics analyze both for clarity, instruction following, latency, interruptions, and sentiment.
6. Metrics & Pass/Fail Criteria
You can define expected outcomes like: “After Prompt A, if user says X, expect transfer to branch B within 5 seconds.” Cekura runs Boolean, numeric, rating, or custom Python metrics to score each call automatically.
7. Scalability & Load Testing
Cekura runs hundreds of concurrent simulated calls to identify infrastructure bottlenecks under peak load. Metrics like talk ratio, latency, and infrastructure stability track how your agent behaves under stress.
8. Cost & Billing Awareness
Since real phone call simulations cost per minute, Cekura’s dashboard makes it transparent when long scenarios or repeated runs might accumulate testing cost, helping teams balance coverage with budget.
9. Native Integration with Telephony Stacks
Cekura connects directly to your SIP endpoints, APIs, or providers like Vapi, Retell, LiveKit, ElevenLabs, Cartesia and more. You test against the same infrastructure you’ll run in production.
Why Teams Use Cekura for Full Call Flow Testing
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Before Deployment: Generate scenarios from your knowledge base, test against accents/noise, define pass/fail conditions.
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Post-Deployment: Monitor production calls, auto-create new simulations based on real failures, and alert via Slack.
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CI/CD: Run regression and A/B tests across models, prompts, and infrastructures as part of release pipelines.
With Cekura, you can simulate entire phone calls under real-world conditions, at scale, with detailed analytics.
👉 Learn more at cekura.ai