Platform for business orchestration and automation enabling AI agents, robots, and people to deliver outcomes at scale
AI model of your product's business logic accessible to people and AI agents
Stage
Established
Not given
Founded
2005
Not given
Based in
US
GB
Pricing model
Freemium
Freemium
Pricing
Free Community plan forever. Basic starting at $25 per month. Standard and Enterprise plans available by contacting sales. Test Cloud Standard available with 60-day free trial; Test Cloud Enterprise available by contacting sales.
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
Business orchestration coordinating work across AI, people, and systems
Agentic AI agents that reason and handle complex workflows
Intelligent document processing extracting data from complex layouts and multiple languages
Process monitoring and optimization with Process Mining
Self-healing automation that suggests fixes for broken automations
Governance controls for data, models, and actions with audit records
Testing automation with agentic testing across enterprise applications
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
End-to-end orchestration from intake to outcome across agents, robots, and people on one platform
Built on over 20 years of real enterprise process expertise
Proven measurable outcomes with $10M+ average documented savings per enterprise customer
Trusted by 91% of reviewers according to Gartner Peer Insights
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