Cekura | AI Voice Agent Testing and Observability
Overview
Cekura (formerly Vocera) is an AI voice agent testing and observability platform designed to help conversational AI teams validate, monitor, and optimize voice agents across real and synthetic scenarios. It enables rapid launch of voice agents with robust testing workflows, scenario simulations, and real-time observability to ensure consistent performance and compliance.
How it works
- Test against AI-generated and custom datasets using workflows, personas, and real audio to create evaluation datasets and measure outcomes against your own metrics.
- Simulate scenarios to stress-test prompts, interactions, and edge cases (e.g., appointment cancellations, impatient users, recurring issues) and replay real conversations for thorough evaluation.
- Observability provides real-time insights, detailed logs, and trend analysis to drive continuous improvement. Alerts notify you of errors, failures, and performance drops for swift action.
- An intuitive dashboard visualizes performance metrics and supports data-driven decisions to optimize agent behavior over time.
Key use cases
- End-to-end testing of voice agents before deployment
- Scenario-based evaluation using real audio and synthetic datasets
- Compliance checks and workflow validation to meet regulatory requirements
- Performance monitoring and alerting for live deployments
- Benchmarking across personas and conversation styles
Workflow and personas
- Create reusable workflows that define prompts, intents, and dialogue turns.
- Define personas to simulate diverse user behaviors and communication styles.
- Replay historical conversations to identify weaknesses and verify improvements.
Observability and monitoring
- Real-time call monitoring with granular logs and trend analysis
- Alerts for errors, failures, and performance degradation
- Visibility across endpoints, models, and integrations to pinpoint bottlenecks
- Data-driven dashboards that support continuous optimization of voice agents
Security and governance
- Ensures testing and observability practices align with compliance requirements
- Centralized telemetry and audit trails for accountability
Integrations and accessibility
- Works with existing data pipelines and datasets
- Designed to be accessible to teams across orgs for rapid adoption
- Can scale from pilot projects to enterprise deployments
Pricing and trials
- Available for demonstrations and pilot testing with scalable pricing plans. Contact sales to learn more and request a demo.
Testimonials
- Trusted by 50+ Conversational AI companies worldwide for faster time-to-ship and higher quality voice agents.
How to get started
- Book a demo to see Cekura in action.
- Try it yourself with a trial workflow and sample datasets.
- Integrate observability into your CI/CD pipeline for continuous validation.
FeatureList
- End-to-end testing of voice agents using AI-generated and custom datasets
- Scenario simulation for edge cases and real conversation replay
- Workflow and persona modeling to replicate diverse user interactions
- Real-time observability with detailed logs and trend analysis
- Alerts and incident notifications for errors and performance drops
- Data-driven dashboards for continuous optimization and decision making
- Compliance and governance capabilities tied to testing activities
- Easy integration with existing data pipelines and tools
- Scalable from pilots to enterprise deployments