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Cekura

Cekura is automated QA for voice and chat AI agents: simulations, evaluations, red-teaming and production call monitoring, with a loop that turns failures into evals and fixes.

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Introduction

Cekura provides automated QA for voice AI and chat AI agents. The official site says you can test your agent before going live, monitor real production calls and continuously improve with Cekura’s insights.

Its self-improving loop flags issues, reproduces them in simulation and suggests fixes: detect failure, generate eval, patch prompt, re-run gate. Cekura also publishes voice AI benchmarks comparing platforms such as Vapi, Retell and ElevenLabs, and lists HIPAA, SOC 2 and GDPR.

Features

  1. Simulations: Test voice and chat agents with simulated conversations.
  2. Evaluations: Score conversations against criteria.
  3. Observability: Monitor production calls.
  4. Red teaming: Probe for jailbreaks, leaks and off-script behaviour.
  5. Self-improving loop: Failures become evals and suggested prompt patches.
  6. Benchmarks: Published comparisons of voice platforms.
  7. Integrations: See the integrations page for supported voice platforms.

Pros

  1. Voice and chat: Covers both channels.
  2. Closed loop: From failure to eval to fix.
  3. Free trial: Available from the site.
  4. Compliance: HIPAA, SOC 2 and GDPR listed.
  5. Platform benchmarks: Helpful when selecting a voice stack.

Cons

  1. Pricing not in text: See the pricing page.
  2. Suggested patches need review: Automated prompt fixes can regress other cases.
  3. Narrow focus: Conversational agents only.
  4. Hosted: Calls and transcripts processed by Cekura.
  5. Vendor benchmarks: Self-published.

Start a free trial, connect your agent (voice number or chat endpoint), generate or write scenarios, run simulations and evaluations, then enable monitoring for production calls. Review suggested fixes before applying them.

Resources:

Pricing

Cekura has a pricing page linked from its site; prices were not readable at review. A free trial is offered. See site.

  1. Voice and chat agent teams wanting pre-launch QA and monitoring.
  2. Teams on Vapi, Retell or ElevenLabs.
  3. Regulated industries needing HIPAA support.
  4. Not a fit for non-conversational AI apps.

Conclusion

Cekura combines simulation, evaluation, red teaming and monitoring for conversational agents with a closed improvement loop.

Review automated fixes and keep a stable regression set.

Alternatives

Other tools on CheckOps that cover similar ground. Open a page, or compare one with Cekura side by side.