Cekura provides an automated quality‑assurance platform for voice and chat AI agents, enabling developers to run pre‑production simulations with configurable personas, accents, and background conditions to validate prompts, compliance, and edge‑case handling. In production, it offers real‑time observability that aggregates transcripts, audio, tool calls, and OpenTelemetry traces into a unified dashboard with metrics on empathy, responsiveness, hallucinations, and latency, plus automated alerts and downloadable reports for continuous improvement.
Funding
Funding not disclosed
Founders
Product
Problem
Voice and chat AI agents often launch without thorough testing, leading to unexpected failures, compliance gaps, and poor user experiences in production. Teams also lack unified observability across real‑time signals, making it hard to diagnose issues quickly.
Solution
Cekura offers an automated quality‑assurance platform for conversational AI agents. It enables developers to run pre‑production simulations with diverse personas, accents, background noise, and custom scenario flows, allowing rapid validation of prompts, compliance checks, and edge‑case handling. In production, Cekura provides real‑time observability that aggregates transcripts, tool calls, audio recordings, metadata, and OpenTelemetry traces into a single dashboard, delivering metrics on empathy, responsiveness, hallucinations, and latency. Smart alerts notify teams of compliance violations or performance anomalies, while downloadable reports support continuous improvement. The platform integrates directly with popular voice‑AI stacks such as Vapi, Retell, Pipecat, Cisco, Five9, and LiveKit, and offers API and SDK access for seamless embedding into CI/CD pipelines.
Target Audience
Primary customers are developers and product teams building voice or chat AI agents, ranging from individual developers and small agencies to enterprise‑level voice AI startups and large contact‑center operators.
Features
- End‑to‑end simulation testing with configurable personas, accents, and background conditions
- Custom scenario types (workflow, knowledge‑base, red‑team, conditional actions) for comprehensive coverage
- Unified session view that links transcripts, audio recordings, tool calls, and OpenTelemetry traces
- Real‑time performance dashboards with metrics for empathy, responsiveness, hallucinations, and latency
- Automated compliance monitoring with alerts for missing disclosures or policy violations
- API, CLI, and SDK integrations for rapid connection to existing voice platforms (Vapi, Retell, Pipecat, etc.)
- Downloadable reports, white‑label options, and SCIM‑compatible user management for enterprise use
- Load testing, red‑team testing, and fine‑tuned metric support for high‑scale deployments