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Cekura

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Cekura is a voice testing and observability platform for teams building voice agents and conversational AI. Pre-production simulations, live call monitoring, alerts, reports, and APIs.

Cekura

Voice testing and observability for AI agents

Cekura is a voice testing and observability platform for teams building conversational AI and voice agents. It combines pre-production simulations with production monitoring so teams can validate prompts, test workflow behavior, and watch live calls for issues that affect quality.

The source shows the product focused on instruction-following, tool calls, conversational flow, and voice-specific signals. In practice, that means teams can replay difficult conversations, test across different personas, inspect live calls, and use the resulting data to catch regressions before they affect users.

Core capabilities

Pre-production simulations

Run voice evals before launch using a library of scenarios or custom scenarios to check how an agent behaves across different conversations and personas.

Production observability

Monitor live calls as they happen and track voice-specific signals such as gibberish detection, interruption tracking, latency, sentiment, and pitch.

Judge optimization

Tune evaluation prompts against real call recordings in a labs workflow by editing, replaying, and scoring calls until the judge matches ground truth.

Real-time alerting

Set thresholds and receive instant notifications for errors, failures, and performance drops through Slack, email, or webhooks.

Custom metrics and reporting

Build custom plots and filter production metrics by agent or date to review trends such as duration, sentiment, drop-off, and success rates.

Platform integrations and APIs

Integrate with supported voice platforms and access APIs for production call simulation, logging, and tool-call workflows.

Common use cases

  • Regression testing before release

    Test how prompt changes affect core flows such as cancellations, reschedules, follow-ups, refunds, or other multi-step workflows before shipping them.

  • Persona and interruption testing

    Stress-test call handling across different personalities, including interruptive or impatient users, to confirm the agent can recover gracefully.

  • Conversation replay and debugging

    Replay known problematic conversations to reproduce failures and verify that a fix addresses the original issue without introducing new ones.

  • Production call monitoring

    Monitor live production calls for latency, interruptions, sentiment, and other voice-specific signals so teams can spot quality issues as they happen.

  • Operational review and reporting

    Use alerts, reports, and custom plots to track trends, review failures, and share operational data across the team.

Pros and Cons

Pros

  • Covers both pre-production testing and production monitoring in one platform.
  • Includes scenario libraries plus support for custom scenarios.
  • Surfaces voice-specific quality signals rather than only generic transcript checks.
  • Offers alerts, reports, and APIs for team workflows.
  • Provides an enterprise path for access control, compliance, and custom integrations.

Cons

  • The source does not provide full technical details for every integration, API workflow, or deployment option.
  • Enterprise capabilities such as access control, self-hosting, compliance, and custom support appear to require a sales conversation.

FAQ

What does Cekura do?

The source describes Cekura as an end-to-end voice testing and voice observability platform. It is used to run pre-production simulations, monitor real production conversations, and review voice-specific quality signals.

Is there a free trial or free start?

The pricing page shows a Developer plan with a free start, and an Enterprise plan with custom pricing. The Developer plan includes a 7-day free start with 300 credits and no credit card required.

Who is Cekura for?

The product is built for teams working on voice agents and conversational AI, including developers, AI automation teams, healthcare teams, and other production voice AI users.

What outputs and workflow artifacts does it provide?

The source shows production call alerts, downloadable reports, API access, log retention, and real-time monitoring features. It also mentions a library of scenarios for testing and the ability to create custom scenarios.

What pricing options are available?

The source explicitly lists a Developer plan and an Enterprise plan. The Enterprise plan offers custom pricing, access control, compliance options, self-hosting, custom integrations, and dedicated support.

Quick Facts

Category
Voice Evals / Voice Observability
Brand
Cekura
Domain
vocera.ai
Primary users
Teams building voice agents and conversational AI
Pricing shape
Free start for Developer plan; Enterprise custom pricing
Integrations
Synthflow, Vapi, Retell, Cisco, Five9, LiveKit, Pipecat, ElevenLabs