Assurance, research and network for autonomous AI agents
AI model of your product's business logic accessible to people and AI agents
Stage
Startup
Not given
Founded
Not given
Not given
Based in
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GB
Pricing model
Not given
Freemium
Pricing
Not given
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
Test agent behavior against explicit authority boundaries
Preserve separate evidence of actor choice, authorization, containment and effect
Bounded adversarial behavioral testing
Repair and retest workflows with lineage
Public Observatory for longitudinal research
Provider-neutral and framework-compatible
Customer-controlled assurance runtime
Agent-to-agent collaboration and cross-agent encounters
Test financial authority and spending limits
Open integration surface with developer tooling
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
What makes it different
Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
Tests specific agents against explicit authority boundaries rather than universal safety claims
Preserves longitudinal behavioral history and repair lineage across retests
Works with multiple agent frameworks and supports customer-controlled environments
Enables evidence-backed behavioral testing without requiring production credentials
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08
GitMir