| What it does | CI/CD testing for AI voice agents that calls your agent and returns pass/fail results
| Catch your AI agents' mistakes, block the dangerous ones
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
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| Pricing model | Free
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| Pricing | 100 free minutes. No credit card required.
| Free: $0/month with 5,000 conversations/month, Langfuse or LangSmith integration, problems and Slack alerts, rules that block costly actions, no credit card required. Starter: $49/month for 25,000 conversations/month plus email support. Growth: $149/month for 100,000 conversations/month plus priorit
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| Key features | - Real phone calls from real carrier lines for end-to-end validation
- LLM-powered test agent that role-plays as a customer
- Plain English test case descriptions without scripted paths
- Simple two-call REST API integration
- Complete call transcripts in failure notifications for troubleshooting
- LLM as Judge for intelligent pass/fail evaluation
- No SDK or test case repository to manage
| - Monitor AI agent conversations without code by connecting Langfuse or LangSmith
- Judge conversations on six criteria: accuracy, goal alignment, decision quality, completeness, helpfulness, and factuality
- Create code-based rules that block risky actions before they run
- Group failures into problems with suggested rules and failure counts
- Send Slack alerts for serious mistakes and reply checks immediately
- Add to agents with one line of Python code for OpenAI Agents SDK, LangChain and LangGraph
- Mask sensitive data like email addresses, phone numbers and card numbers before sending to Kalytera
- Rules continue running offline if Kalytera goes down
- Correct judge verdicts by marking conversations as passed or failed
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| What makes it different | - Real end-to-end validation with actual phone calls covering SIP integration, STT/TTS, and functional behavior
- Intelligent LLM testing that understands intent instead of matching keywords or regex
- Lightweight and unopinionated API design for fast integration
- Complete call transcripts included in test failures for immediate troubleshooting
| - Rules are code-based, not AI, so they cannot be overridden or argued with
- No code setup using Langfuse or LangSmith connections for immediate visibility
- Rules continue protecting agents even when Kalytera is offline
- Catches exact mistakes from real AI agent incidents like database deletes, account takeovers and crypto theft
- Customer data stays on your servers; Kalytera only reads conversations, never writes or stores sensitive data
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 0 |
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| Citation Flow (Majestic) | 22 | 14 |
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| Referring domains (Majestic) | 40 | 28 |
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