| What it does | Automated browser testing platform with visual test building, AI self-healing, and zero vendor lock-in
| 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 | Freemium
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| Pricing | Free: $0/month with 1 concurrent runner, Chrome only, 5 AI Explorer runs/month. Starter: $31/month (billed annually at $372/year) with 3 parallel runners, 1,000 mins/month, all browsers, 35 AI runs/month. Pro: $63/month (billed annually at $756/year) with 10 parallel runners, 5,000 mins/month, 200 A
| 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 | - Visual Pipeline Studio for organizing multi-step test flows
- Autonomous In-Flight Self-Healing that auto-repairs selectors on UI changes
- Multi-browser execution across Chrome, Firefox, and Safari
- Visual Regression with pixel-perfect diffing against golden baselines
- Automated WCAG 2.2 accessibility auditing with suggested fixes
- Autonomous AI Explorer for discovering edge cases automatically
| - 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 | - Visual-first test building with no code or complex setups required
- Autonomous self-healing selectors that adapt automatically to UI changes
- Complete zero vendor lock-in with standard TypeScript export
| - 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) | Not checked yet ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 19 | 14 |
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| Referring domains (Majestic) | 6 | 28 |
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