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
IE
GB
Pricing model
Freemium
Freemium
Pricing
Standard: Free forever. Plus: €9/month. Pro: €25/month. Team plan: No subscription, pay per machine and per AI use from prepaid balance in US dollars. Machine sizes: R0 $5/month, R1 $10/month, R2 $30/month. AI pricing per million tokens: Rool® 1 input $0.35, cached input $0.07, output $0.70. Rool® 1
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
Persistent memory that builds knowledge graphs over time
File storage and management with version control
Collaboration with shared access and permissions
Multiple Rool Machines per account
Built-in connectors and custom MCP servers
Full data export and API access
Progressive Web App and mobile apps
Hourly credit refills with daily limits
Rool 1 and Rool 1.5 AI models
EU infrastructure with self-hosted models
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
Private machine isolated at VM level, not just by access rules
Hosted entirely in the EU with self-hosted AI models
Never trains AI models on your data
Free forever plan with no credit 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