Description
Cekura is a comprehensive platform designed for automated quality assurance in Voice AI and Chat AI agents. It provides end-to-end testing and observability, enabling users to run pre-production simulations across diverse personas and monitor production conversations. This ensures that conversational agents follow instructions, make accurate tool calls, and maintain high conversational quality. Cekura supports pre-production voice AI testing across more than 30 languages and accents, offering production call observability with full turn-level traces. It also facilitates automated regression testing in CI/CD environments and includes red-teaming and security testing for voice and chat agents.
Cekura integrates natively with major voice AI stacks such as LiveKit, Pipecat, Vapi, Retell, ElevenLabs, and Telnyx. The platform is built by engineers from Google, Apple, and Microsoft and is backed by Y Combinator. Cekura's pricing model includes a pay-as-you-go option starting at USD 30 per month, with additional Startup and Enterprise plans available for larger teams and complex deployments.
The platform is trusted by companies where reliability is crucial, such as Confido Health and Kastle. Cekura enables users to benchmark their infrastructure, run adversarial red-teaming, and conduct thousands of synthetic conversations before deploying agents. It also offers features like live drift detection, self-improving loops, and benchmarking capabilities to ensure agents perform optimally across different scenarios.
Cekura is designed for enterprises, providing security and compliance infrastructure that meets HIPAA, SOC 2, and GDPR standards. It offers flexible usage options, allowing teams to scale AI without disrupting workflows. With Cekura, users can launch their voice agents in minutes, continuously monitor real production calls, and improve agent performance with intelligent insights.
Cekura's Core Features
End-to-end voice testing
Voice observability platform
Pre-production simulations
Production conversation monitoring
Automated regression testing
Red-teaming and security testing
Native integration with major AI stacks
Supports 30+ languages and accents
Live drift detection
Self-improving loops
How to use Cekura?
Configure: Set up your testing environment
Use: Run simulations and monitor calls
Optimise: Improve agent performance with insights
Deploy: Launch agents with confidence
Cekura's Use Cases
- Voice AI Testing
- Chat AI Monitoring
- Regression Testing
- Security Testing
- Benchmarking
