Industrial-grade agentic AI platform for enterprise operations
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
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
Prebuilt skills and workflow patterns for fast deployment
Context-aware AI using operational and system signals
Governed execution with guardrails, approvals, and audit trails
Enterprise-grade security with SOC 2 Type 2, GDPR, and HIPAA compliance
Integration with 65+ applications
Natural language agent creation and monitoring
Event-triggered and schedule-based agent orchestration
LLM adaptation to business data
API and client libraries for custom integrations
Support for multiple industries and use cases
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
Industrial-grade platform built for mission-critical enterprise environments
Context-aware decision-making using operational data across systems
Governed autonomy with guardrails and audit trails for safe scaling
Seamless integration with 65+ enterprise applications
Fast deployment with prebuilt skills and workflow patterns
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
IFS Loops
GitMir