Cekura has raised $2.4M to help make conversational agents reliable

Sun Jun 01 2025

Cekura: Chat Agent Quality Assurance That Helps You Ship With Confidence

Team Cekura

Team Cekura

Topics:
QA
Chat AI
Cekura: Chat Agent Quality Assurance That Helps You Ship With Confidence

Teams rely on chat agents to handle real conversations, answer questions correctly, and follow the workflows behind the scenes. When an agent misinterprets a message or breaks a step in the logic, users feel it immediately. Good QA tools exist to help you catch these issues early, understand exactly what needs to improve, and ship new updates confidently.

Cekura gives you a complete environment for testing and validating your chat agent across many types of interactions. The platform uses automated scenario generation, LLM based scoring, and ongoing monitoring to reveal issues that are easy to miss during manual review. Everything runs in chat mode over WebSocket, SMS, or integrations, so you can test your agent under the same conditions your users experience.

Test every type of interaction

If your users message your agent from different devices or contexts, you want full coverage.

Cekura lets you test agents built on platforms like VAPI, Retell, LiveKit, custom chat servers, or simple WebSocket bots. You can run structured scenarios, long multi turn conversations, and informal text messages, including SMS. This helps you understand where your agent works well and where it needs refinement.

Get instant scoring and clear explanations

Instead of reading every transcript manually, Cekura evaluates each interaction using an LLM judge that checks accuracy, instruction following, relevance, hallucination, latency, consistency, sentiment, interruptions, and more.

You receive:

  • A pass or fail result

  • A timestamped explanation

  • A comparison against expected outcomes

  • Insight into where the agent drifted from the logic

When a metric misfires, you can tune it directly so future evaluations match your expectations.

Designed for real team workflows

You do not need to write long test scripts.

Cekura generates realistic user scenarios directly from your agent description or knowledge base. Teams can choose personas that match your real users and run everything in one batch.

When something fails, you get a clear timestamp and explanation so you can fix the issue fast. Teams can also click improve prompt to receive targeted suggestions for the specific behavior that went wrong.

Connect to your stack in minutes

Most teams already have chat infrastructure in place. Cekura connects through WebSocket URLs that you host, SMS testing, and integrations with VAPI, Retell, Pipecat WebRTC, and ElevenLabs. This lets you test your agent’s complete workflow, including tool calls, backend actions, and multi step interactions. You can validate everything without restructuring your system.

Know what happens during and after conversations

You can test before launch, but quality issues also show up in production. Cekura processes real chat transcripts, highlights failures, and notifies you when problems appear.

If a user experiences an issue, you can turn that conversation into a new evaluator and run it again to confirm a fix. Metric wise alerts make sure you never miss drops in accuracy, latency, or behavior.

Scale your QA with automation

WWhen your chat agent handles more conversations, manual review becomes impossible. Cekura runs large batches in parallel, making it easy to:

  • Stress test workflows

  • Validate resilience

  • Run nightly or scheduled regression checks

  • Compare model, prompt, or infra versions

  • Monitor performance across personas and scenarios

Letting you ship fast and stay confident in quality.

Turn issues into improvements

You get clear pass or fail results, explanations, impact summaries, and A B comparisons. Teams can also test new models like GPT-5 or new prompt changes using the same scenarios. You can also compare behaviors across personas or infrastructure providers. The platform helps you see exactly which change made your agent better or worse.

Built for compliance and safety

If you operate in industries like healthcare, finance, or regulated customer support, you need to ensure consistent behavior. Cekura’s instruction following checks help validate policy adherence. Bias and toxicity scenarios help evaluate safety. Redaction protects sensitive data in your production transcripts.

Faster improvements, lower effort, higher confidence

Teams want to release features quickly without breaking what already works. Cekura helps you test more of your chat agent, catch issues earlier, and maintain a high bar for the user experience. With automated regression testing and monitoring, you can move faster while knowing your agent is stable.

Learn more at Cekura.ai

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