Cekura

Founded by Sidhant Kabra in 2024

Test and monitor voice AI and chat agents across diverse scenarios

Pricing model

Free Tier, Paid

Rating

★ Positive

Time to value

Instant

You can use Cekura to test and monitor conversational voice and chat agents before and after deployment. It runs automated pre-production simulations across dozens of languages, accents, and user personas to evaluate instruction-following and tool calling. In production, it tracks live conversations to catch quality drops, latency spikes, and prompt drifts. You can benchmark different voice models head-to-head, red-team agents against prompt injections, and catch compliance errors like missing disclosures automatically before updates reach users.

What Cekura does

Run automated synthetic voice conversations across multiple accentsDetect prompt drift and quality drops in production callsProbe conversational bots for prompt jailbreaks and PII leaksTrack end-to-end turn latency from speech input to audio outputSet up automated CI/CD gates to stop broken agent releasesCompare benchmark metrics across different voice AI vendorsVerify adherence to required legal and compliance scriptsPre-production synthetic conversation testing across 30+ languages and accentsLive production monitoring with full turn-level conversation tracesAutomated adversarial red-teaming for prompt injection and data leaksEnd-to-end latency measurement across ASR, LLM TTFT, and TTSAutomated regression testing integrated into CI/CD pipelinesHead-to-head benchmarking between voice providers and modelsVoicemail detection accuracy and branch-handling testing