| What it does | Catch your AI agents' mistakes, block the dangerous ones
| No-code AI QA testing for web apps that explores your app, writes end-to-end tests, and reports bugs with screenshots.
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| Stage | Startup
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| Founded | 2026
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| Based in | Not given
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| Pricing model | Not given
| Free trial
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| Pricing | 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
| Solo: $19/month (100 test executions/month, 2 projects, 30 pages explored/month), Startup: $49/month (260 test executions/month, 5 projects, 80 pages explored/month), Growth: $149/month (800 test executions/month, 15 projects, 250 pages explored/month). Enterprise: Custom pricing. 7-day free trial o
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| Key features | - 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
| - No SDK to install or code changes required
- Autonomous test generation covering happy paths and edge cases
- Plain-English tests with self-healing selectors
- Scheduled, CI and GitHub webhook triggered runs
- Works behind login with support for one-time codes
- Supports any web framework via URL
- 99.8% accurate self-healing selectors
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| What makes it different | - 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
| - No tests to write or code to maintain versus managed services and frameworks like Cypress that require manual test authoring
- Self-healing selectors that target elements by context instead of CSS classes that break on markup changes
- Coverage grows continuously from scheduled and CI runs instead of only at release time
- Comprehensive AI exploration discovers edge cases and negative flows that manual QA misses
- Self-serve autonomous testing with transparent pricing versus managed QA contracts
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 5 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 5 |
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| Citation Flow (Majestic) | 14 | 19 |
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| Referring domains (Majestic) | 28 | 30 |
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TestOptim AI