Trusted autonomy for industrial operations built on machine teaching
AI model of your product's business logic accessible to people and AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
GB
Pricing model
Contact for pricing
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
60+ tools for data to autonomy
CLI and API access
MCP server for autonomous coding agents
Flexible compute deployment on cloud, on-premises, or edge
Dedicated supercomputer cluster infrastructure
12-week deployment timeline
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
Built on machine teaching methodology for systems that learn from human expertise
Proven ROI with documented industrial results up to $1.7M per year
Data never leaves your walls with on-premises deployment options
No-code platform for enterprise deployment without extensive technical expertise
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
AMESA
GitMir