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
Free plan: $0 per month with 100 tool calls per day and 10 new integrations per month. Premium: $50 per month with 1,000 tool calls per day and 100 new integrations per month. Business: contact for pricing with 100,000+ tool calls per day and 1,000+ new integrations per month.
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
Faster and more reliable than browser agents
Self-healing integrations that detect and repair breaks automatically
Build integrations from your coding agent with prompts
Authentication and 2FA handled automatically
No deployment or infrastructure required
Support for legacy portals and internal tools
Integration with any website type
Secure credential storage with PII redaction
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
7x faster performance than browser agents
Self-healing integrations repair automatically when websites change
No API key or credential storage required for basic use
Open source framework
Handles anti-bot measures and rate limiting automatically
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