| What it does | AI-powered tabletop exercise platform for crisis and operational readiness training
| 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 | GR
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| 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 | - AI-generated tabletop exercises tailored to sector and threat profile
- Custom scenario context from your playbooks and runbooks
- Live simulation with real-time AI-driven adversarial roles
- Automated post-simulation performance reporting and gap analysis
- Self-serve or fully facilitated exercise options
- Cybersecurity incident scenario training
| - 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 | - Exercises customized to your actual playbooks, team structure, and risk profile
- Team combines battle-tested crisis veterans with AI researchers
- Measurable learning impact focused on improving readiness
| - 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) | 1 ● no change since last check | 13 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 8 | 10 |
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| Citation Flow (Majestic) | 21 | 26 |
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| Referring domains (Majestic) | 4 | 32 |
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Mirtio
Netra