Cekura

Overview

Cekura is an end-to-end testing and observability platform built specifically for conversational AI — voice agents and chat agents that interact with real users at scale. It gives engineering and QA teams the tools to simulate realistic conversations before deployment and monitor every production interaction after launch.

Where generic testing tools treat AI agents like deterministic software, Cekura accounts for the non-deterministic nature of LLM-powered conversations. Teams can run thousands of pre-production simulations across diverse personas, accents, and edge-case scenarios, then evaluate results across dimensions like instruction-following accuracy, hallucination rate, empathy, and tool call correctness — all before a single real user is affected.

The platform serves healthcare technology companies, AI automation platforms, and high-volume contact center operations building on voice infrastructure providers like Vapi, Retell AI, Bland, Synthflow, and ElevenLabs. Cekura positions itself as the reliability layer that sits between your agent and production — ensuring every update ships with verified conversational quality.

Key Features

• Pre-production simulation with diverse personas — Run thousands of parallel test calls using built-in persona profiles with varied accents, communication styles, and edge-case scenarios. Simulations execute concurrently, delivering actionable evaluation results in minutes rather than days.

• Multi-dimensional LLM evaluations — Assess agent performance across empathy, responsiveness, hallucination detection, instruction-following, and tool call accuracy. Evaluation criteria are fully customizable to match specific workflow requirements, and the LLM-based judgment system supports trigger-based activation for targeted assessments.

• Production observability and alerting — Monitor every live conversation in real time with detailed logs, trend analysis, and interactive analytics dashboards. Instant notifications fire for errors, failures, and performance drops so issues surface before they compound at scale.

• Conversation replay and regression testing — Capture and replay real production conversations to reproduce specific failure scenarios. When an agent update ships, run replays against a library of known problem conversations to catch regressions before they reach users.

• CI/CD pipeline integration — Embed Cekura's testing suite directly into deployment pipelines. Automated pre-deployment checks validate agent behavior against defined quality thresholds, blocking releases that would introduce regressions into production.

• MCP server for AI-assisted development — Connect Claude Code, Cursor, or VS Code to Cekura via the Model Context Protocol with a single command. AI assistants can then create agents, run tests, and analyze results through natural language — generating full integration scaffolding without manual documentation research.

How to Get Started

Cekura offers a 7-day free trial with no credit card required. Setup takes minutes for teams already using supported voice platforms:

1. Sign up — Create an account at cekura.ai to start the 7-day Developer trial, which includes 300 credits. No credit card is required.
2. Connect your agent — Integrate via direct API (native connectors for Retell, Vapi, Bland, Synthflow, LiveKit, Pipecat, and ElevenLabs) or use the MCP server to connect from your IDE.
3. Define test scenarios — Choose from Cekura's built-in scenario library or create custom scenarios reflecting your agent's specific workflows and edge cases.
4. Run simulations — Execute parallel test calls across selected personas. Review evaluation results across all configured dimensions.
5. Enable production monitoring — Activate observability to capture and analyze live conversations, set alert thresholds, and begin building a regression test library from real failures.

For MCP-based setup, run the connection command from Claude Code, Cursor, or VS Code — the AI assistant guides scaffolding through natural language without switching to a separate dashboard.

Integration Guide

Cekura connects natively to the major voice and chat AI infrastructure platforms:

The MCP integration enables AI agent development tools to interact with Cekura directly — creating test scenarios, running suites, and interpreting results without leaving the IDE. For teams with custom workflows, Cekura's full API supports programmatic test creation and result retrieval for integration with internal tooling and data pipelines.

Pricing & Plans

Cekura offers a 7-day free trial on the Developer plan with 300 credits and no credit card required. Enterprise is custom and requires contacting sales. After the trial, the Developer plan starts at $30/month and includes 750 credits, 1 project, and 10 concurrent calls. The pricing page also notes that additional users are charged per user. Enterprise is custom-priced.

Additional credits beyond the monthly allocation are available on a pay-as-you-go basis. Enterprise plans include volume discounts and fine-tuned metrics tailored to specific industries and use cases.

Best For

• Engineering teams building voice AI agents on Vapi, Retell, or Bland who need structured QA before shipping updates to production
• Healthcare and contact center organizations deploying high-volume conversational AI that requires compliance-grade observability (SOC 2, HIPAA, GDPR)
• AI developers working in Claude Code or Cursor who want to run tests and interpret results without leaving the IDE
• QA teams building regression test libraries from real production conversations to catch issues introduced by model or prompt updates
• Startups and scaleups who need to move fast without sacrificing conversational quality — 7-day trial and same-day platform setup lower the barrier to getting started

FAQ