AI model of your product's business logic accessible to people and AI agents
Stage
MVP
Not given
Founded
Not given
Not given
Based in
CA
GB
Pricing model
Free
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
Axe-core automated accessibility scans with violation counts and per-rule details
Page structure review including landmarks, headings and nested lists
Tab and focus order analysis with tabindex flag detection
Image and alt text inventory
WCAG 2.2 color contrast checking
Browser control for navigating dynamic content
Session-based auditing with action logging
Integration with Claude, opencode and other MCP clients
Local execution with no data transmission
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
Runs locally on your machine without requiring an account or API key
Works with any MCP client including Claude Desktop and opencode
Provides comprehensive accessibility auditing through axe-core integration
Includes explicit audit workflow guidance for consistent evaluation
Drives a real Chromium browser for accurate testing of dynamic content
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