Verify any AI agent behavior

The ultimate creative AI safety platform — we use different art formats
to test, verify and monitor agent behaviour in pre-deployment and production.

Trusted for agents built on
◎ OpenAI ✦ Anthropic ⬡ Manus ◈ Google DeepMind ⊞ Microsoft ⟳ CrewAI ⌁ LangChain ⊕ Cohere ◎ AutoGPT ✦ Perplexity ◎ OpenAI ✦ Anthropic ⬡ Manus ◈ Google DeepMind ⊞ Microsoft ⟳ CrewAI ⌁ LangChain ⊕ Cohere ◎ AutoGPT ✦ Perplexity

From deployment risk to
verified confidence.

MiM gives AI teams a structured, repeatable process for behavioral verification — before and after production deployment.

01

Define Agent Environment

Configure your agent's real-world context: tools, goals, data access, and the constraints it should respect. MiM ingests your agent's specification and builds a faithful simulation environment.

Agent Spec
Environment
02

Run Behavioral Simulations

Stress-test your agent across thousands of edge cases — including adversarial inputs, unexpected tool chains, and high-stakes decision scenarios. Surface failure modes before they surface in production.

Normal
Edge
Adversarial
Risk
03
🔄

Circular Monitoring Loop

Once deployed, MiM continues monitoring agent behavior in production — detecting drift, anomalies, and emerging misalignment. Findings feed back into your simulation environment, creating a circular safety loop.

Deploy Monitor Verify Improve

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