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
Not given
GB
Pricing model
Freemium
Freemium
Pricing
Free tier: track rankings and competitors for one app with no card required. Grow plan: from $9.99/month per workspace, includes app integrations and MCP access. Investigate one app costs $9.99/month (up to three apps per workspace). Use LAUNCH code at checkout for 20% off while keeping the subscrip
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
23 MCP tools for iOS app analysis
Keyword ranking history by storefront
Competitor tracking and keyword overlap inspection
Apple Ads campaign data integration
RevenueCat subscription and revenue snapshots
Read-only Apple Ads tools
Hosted MCP endpoint with remote access
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
Maintains separate data boundaries between sources to avoid false attribution
Separates missing ranks from measured drops in analysis
Connects paid and organic data with revenue context in one investigation
Free tier available with no card required
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