Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
AI model of your product's business logic accessible to people and AI agents
Stage
Established
Not given
Founded
2017
Not given
Based in
US
GB
Pricing model
Contact for pricing
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
One integrated runtime combining neural and symbolic systems
Deterministic policy enforcement before action
Complete execution trace for every turn
Natural language program authoring with code generation
Consistent decisions from identical inputs
CPU-based logic execution with lightweight language models
Managed service and custom enterprise deployment options
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
Symbolic logic governs decisions instead of neural weights
Lower operational costs through CPU-based logic and lightweight models
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