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
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
Governance: checks proposed AI actions against defined rules before execution
Recorded decision records that can be reviewed, replayed and verified later
Evaluation: compares AI agent performance using representative test cases and expected outcomes
Optimization: recommends model and cache candidates based on usage, prices and evaluation evidence
Regress detection identifies changed action paths and quality regressions
On-premises and private cloud deployment
Integration with existing AI tools via connectors and wrappers
No model training on customer data; separate data boundaries from external AI providers
Cost comparison and optimization across model and cache configurations
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
Independent accountability: checks run inside your systems, not asking another AI to audit AI
Your people keep authority: Forge produces decision evidence, your business enforces results
Recorded decision evidence that auditors and regulators can examine
Designed for consequential work in regulated industries like financial services
Not another dashboard: integrates into your workflow without replacing your AI tools
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
Forge Orbital
GitMir