Cekura is a testing and monitoring platform designed for voice AI agents. It enables development and QA teams to run automated tests against voice agents, simulate real-world call scenarios, and evaluate agent responses for accuracy, tone, and compliance. The platform supports continuous monitoring so teams can detect regressions or unexpected behavior changes as their voice AI evolves. Cekura is part of Y Combinator's F24 batch, indicating it is an early-stage startup. The product targets companies building or deploying voice AI agents who need structured quality assurance workflows beyond manual testing. Key capabilities include scenario-based test creation, automated call simulation, and performance evaluation metrics. By centralizing voice agent testing, Cekura aims to reduce the manual effort required to validate AI-driven phone or voice interactions and help teams ship more reliable voice AI products.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Cloud
Key features
Use cases
- Automate voice agent testing
- Monitor voice agent performance over time
- Simulate real-world call scenarios
- Evaluate AI response quality
- Accelerate QA workflows for voice AI
Best for
- AI engineers who need to validate voice agent behavior at scale
- QA teams who need to automate regression testing for voice AI systems
- Product teams who need to ensure voice agent reliability before and after releases