Post-train specialized models for your task, creating an AI edge your competitors can't buy
AI model of your product's business logic accessible to people and AI agents
Stage
Established
Not given
Founded
Not given
Not given
Based in
IL
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
Forward-Deployed Researchers provide end-to-end model training and optimization
Custom evaluation suite development from real tasks
Production-ready deployment with cost-quality trade-offs
Deployment flexibility including on-premises and VPC options
Data security with no retention and full traceability
Continuous model improvement from production traffic
Customer ownership of model weights and training recipes
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
Customers own specialized models trained on proprietary data, not rented general-purpose models
Achieve frontier-level quality at lower costs through specialized training
Five years of experience with diverse post-training and optimization methods
Models ship production-ready in weeks with ongoing improvement capability
Secure deployment with no data retention and auditable access controls
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
AI21
GitMir