Sidhant Kabra

Most teams scaling Voice AI think they can monitor quality with a simple LLM prompt. They are wrong.

An LLM can t hear a "crunchy" voice line, it can t accurately measure a 500ms "barge-in," and it struggles with the nuances of true conversational flow.

When we built Cekura Monitoring, we realized we had to go beyond the LLM. We combined Heuristic and Statistical models with our Metric Optimizer to solve the "Scaling Wall."

Hi Product Hunt Fam

Cekura (formerly Vocera) just relaunched with some major upgrades:

• Chat AI Testing & Observability covers voice and chat flows

• Auto Asserted Outcomes every generated scenario knows its expected result

• Production Replay simulate real call transcripts for regression checks

• Built in Quality Metrics e.g. Instruction Following & Hallucination detection out-of-the-box