| What it does | Catch your AI agents' mistakes, block the dangerous ones
| Test and guard AI agents with outcome verification, not reply verification
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| Stage | Startup
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| Founded | 2026
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| Based in | Not given
| IT
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| Pricing model | Not given
| Freemium
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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
| Free: €0/month with 100 test runs per month; Test: €19/month with 2,000 runs per month; Guard: €99/month with unlimited runs plus live guard features. AI usage is metered separately at cost.
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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
| - Isolated sandbox with fresh fake accounts for testing
- 88 scenario templates for refunds, cancellations, pauses and plan changes
- CI gate and CLI with dependency-free deployment
- Policy gate with ALLOW/REVIEW/HOLD/DENY decisions
- Human approval for risky actions
- Independent verification of outcome against ground-truth state
- Guardrails with prompt injection and PII detection
- Per-end-user spending caps in rolling windows
- Append-only evidence log with JSON, CSV and PDF export
- GitHub Action integration for automated testing
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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
| - Deterministic verdicts from explicit state checks, not language model decisions
- No-cost deterministic testing; AI features are optional and separately metered
- Integrated sandbox testing and production guarding in one platform
- Idempotent and exactly-once action execution with retry safety
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 14 | 0 |
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| Referring domains (Majestic) | 28 | 0 |
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