Cekura

Cekura is an automated quality assurance platform built for voice AI and chat AI agents. It positions itself as a reliability layer covering the full deployment lifecycle, from pre-production simulation through live production monitoring and continuous self-improvement. Before any agent goes live, Cekura runs thousands of synthetic conversations to expose issues around latency, knowledge gaps, hallucinations, and compliance failures. In production, it detects drift across every call. When failures are found, the platform reproduces them in simulation, suggests prompt patches, and re-runs evaluation gates automatically, closing the improvement loop without manual intervention.

For BPOs and contact centers deploying AI voice agents, Cekura solves a real operational problem: verifying that the agent performs correctly before customers ever reach it. QA teams can benchmark identical call scenarios across multiple voice AI providers, comparing how each handles latency and interruptions, to make informed vendor decisions. Adversarial red-teaming lets compliance teams probe agents for jailbreaks, PII leaks, and off-script responses, which is especially important in regulated sectors like healthcare. Call analytics group failing calls by root cause, so QA managers can target a small set of fixes instead of manually reviewing thousands of individual call logs.