Pre-production simulation
Run voice evaluations before launch using a library of scenarios and custom scenarios to test different conversational paths and persona behaviors.
Cekura
BeanspruchenCekura is a voice evals and observability platform for AI voice agents. Simulate calls before launch, monitor live conversations, and review quality signals in production.
Overview
Cekura is a voice evals and voice observability platform for teams building conversational AI agents. It combines pre-production simulations with production monitoring so teams can test instruction-following, tool calls, conversational quality, and workflow reliability before and after launch.
The product page describes support for thousands of scenarios, custom scenarios, persona-based testing, and replay of real conversations. In production, Cekura tracks voice-specific quality signals, supports alerts, and provides reporting and analytics to help teams inspect failures and refine their agents over time.
Core capabilities
Production observability
Monitor live conversations as they happen and surface voice-specific signals such as gibberish detection, interruption tracking, latency, sentiment, and pitch.
Real-time alerting
Configure instant alerts for errors, failures, and performance drops, with notification channels including Slack, email, and webhooks.
Judge optimization
Tune evaluation prompts against real recordings in Labs by editing, replaying, and scoring until the judge behavior matches ground truth more closely.
Custom analytics and reporting
Build custom plots and track metrics such as duration trends, sentiment, drop-off, and success rates, with filters by agent or date.
Stack integrations
Connect to common voice agent stacks and workflow platforms, with integrations listed for Synthflow, Vapi, Retell, Cisco, Five9, LiveKit, Pipecat, and ElevenLabs.
Where teams use Cekura
Pre-launch workflow regression testing
Validate prompts and conversation flows before deployment by running simulations across personas, interrupted turns, and known failure paths. This is useful when a small prompt change can affect cancellations, reschedules, refunds, or other core flows.
Production monitoring and alerting
Monitor live calls for quality signals and operational issues after deployment, including latency, interruption handling, sentiment, and success rates. Teams can use alerts to catch errors and performance drops quickly.
Judge tuning from real calls
Replay problem conversations and refine LLM judges against real recordings to better match ground truth. This supports teams that want to turn recurring call failures into reproducible test cases.
Complex multi-agent and compliance-sensitive flows
Stress-test multi-step handoffs, verification logic, and data collection flows in environments where reliability matters, such as clinical onboarding or other regulated conversational workflows.
Pros and Cons
Pros
- Combines pre-launch simulation and production monitoring in one platform.
- Includes scenario libraries, custom scenarios, and persona-based testing for conversational workflows.
- Surfaces voice-specific signals such as interruption behavior, latency, sentiment, and pitch.
- Supports alerts, downloadable reports, and API access for operational use.
- Shows published pricing options, including a self-serve Developer plan and an Enterprise path with custom support.
Cons
- The public site gives limited detail on exact workflow coverage, retention options beyond the developer plan, and how some advanced features are configured.
- Some integration and deployment details are listed only at a high level, so buyers may need a demo to confirm fit with their stack.
FAQ
What kind of products is Cekura for?
Cekura is designed for teams building voice AI agents that need pre-production simulation and production observability. The source examples emphasize voice agents used in customer support, onboarding, scheduling, and other conversational workflows.
Does Cekura have a free trial or paid plans?
The pricing page shows a Developer plan starting at $30/month, with a 7-day free start and no credit card required. It also lists an Enterprise option with custom pricing and support.
What does Cekura include for testing and monitoring?
The site highlights production call simulation, downloadable reports, production call alerts, API access, and 30-day log retention on the Developer plan. The Enterprise plan adds custom integrations for tool calls and WebRTC, self-hosting, custom SLAs, SCIM, audit logs, and custom log retention.
Which platforms does Cekura integrate with?
Cekura lists direct integration with platforms such as Synthflow, Vapi, Retell, Cisco, Five9, LiveKit, Pipecat, and ElevenLabs on the homepage, and its case studies show it being used for workflow testing, interruption handling, and clinical onboarding flows.
Quick Facts
- Category
- Voice evals and observability
- Website
- cekura.ai
- Pricing
- Developer plan starts at $30/month; Enterprise is custom pricing
- Trial
- 7-day start available; no credit card required
- Integrations
- Synthflow, Vapi, Retell, Cisco, Five9, LiveKit, Pipecat, ElevenLabs
- Primary use
- Testing and monitoring AI voice agents
Cekura Alternativen
blop
blop is a QA agent that writes browser tests as code in your repo, runs them in CI, clusters repeated failures, and can open PRs to fix broken tests.
Bluejay
Bluejay is a QA platform for AI agents to test, monitor, and improve voice and chat systems before and after launch with simulations and replays.
Orca
Orca is an Agent Development Environment for shipping with coding agents, running multiple CLI agents in parallel across isolated worktrees, with desktop and mobile workflows.
BotLab
BotLab is a tool for testing video-game bots by running them in simulated game clients, reviewing session logs, and comparing results in the Reactor. It offers a free tier for short sessions and a paid Pro plan for longer online runs.
AI Magicx
AI Magicx is a unified AI workspace for chat, image, video, voice, music, email and developer tasks, helping teams and creators manage multiple models in one place.
Paper
Paper is a design tool that connects canvas, code, and AI agents so teams can create, share, and ship work in one workflow. Includes desktop app and MCP access.