| What it does | AI agent red-teaming platform for testing, evaluation, monitoring, and governance
| Platform to evaluate, trace, monitor and security test AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Launch Plan: Pay Per Test Case with free trial available. Scale Plan: Custom pricing based on needs, includes everything in Launch Plan plus cross-browser execution, CI/CD integration, AI debugger, SOC 2 Type II compliance, and dedicated customer success manager.
| Free plan at $0 forever with 5,000 spans/month, 25 test runs/month, 100 evaluator executions/month, 2 custom evaluators, 5 datasets, 2 prompts, 5 users, 3 projects, 7-day data retention. Pro plan at $39 per month with 200,000 spans/month plus $5 per 100k additional spans, 100 test runs/month, 5,000
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| Key features | - Adaptive red-teaming with adversarial scenarios
- Agent tracing with execution path inspection
- Automated evaluation with LLM and code-based checks
- Policies and guardrails for agent governance
- Support for multiple agent types
- Framework and model agnostic integration
- 60+ tool integrations for CI/CD
- SOC 2 Type II compliance
- SSO and SAML identity integration
- Fine-grained access control
| - Observability and tracing of every LLM call, tool invocation and decision point with latency, cost and token usage metrics
- Evaluation to score agent answers before release against traces that broke
- Simulation to test agents with realistic users before launch
- Red teaming to find injection, tool abuse and data leaks before launch
- Prompt management with versioning and deployment controls
- Online evaluation to score real conversations in production
- Agent Insights to spot patterns and detect drift
- Real-time alerts on cost, latency, errors and quality regressions
- Support for 14+ LLM providers and 12+ frameworks
- MCP server for querying and debugging traces from inside IDE
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| What makes it different | - Discovers failures before production through adaptive red-teaming
- Converts discovered failures into permanent regression checks
- Full visibility into agent behavior with execution tracing
- Works with any agent type and existing tech stack
- Enterprise-grade security built from the start
| - Single platform that covers the entire AI agent lifecycle from prompt management through production monitoring, instead of scattered tools
- Built on OpenTelemetry standards for native observability across frameworks you already use
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ▲ +1 (up) since last check | 13 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 11 | 10 |
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| Citation Flow (Majestic) | 21 | 26 |
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| Referring domains (Majestic) | 221 | 32 |
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