AI agent orchestration platform that models workflow with triggers, actors, stages, gates, permissions, and outcomes
AI runs where you own it
Stage
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Founded
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Based in
US
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Pricing model
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Freemium
Pricing
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RailCall local runtime: free. RailHub Team: $5 per seat per month. Cloud agents: $5 per trained agent per month. Advanced thinking (overflow): metered against a budget you set, with 500 flows per month included. Storage on hub: $0.25 per GB-month with 5 GB free.
Key features
Role-based organization with humans or AI agents in any position
Workflow definitions with triggers, stages, gates, and outcomes
Agent-agnostic design supporting Claude, Codex, Gemini, and local models
Scoped credentials with least privilege access per stage
Deterministic gates for tests, reviews, and approvals
Audit trail with hash-chained tamper-evident ledger
Local-first deployment with optional cloud hosting
Isolated git worktrees for independent work and verification
Budget tracking and spend monitoring per organization
Separation of duties enforced in code
Studio visual workflow builder with 1,000+ nodes
CLI and terminal-first interface
Ed25519-signed tamper-evident receipts
Human approval airlock for all actions
Autonomous agents that run 24/7
Capacity routing across organization machines
MCP integration with 33 tools
Multi-level human approval workflows
Offline receipt verification
Company-wide stop button
What makes it different
Orchestration layer that treats work as executable processes rather than remembered habits or wikis
Roles swappable between humans and AI agents without rewriting workflows
Credentials and secrets held by infrastructure, never exposed to AI models
Autonomous AI decision-making within defined stages, deterministic controls at stage boundaries
Entire local runtime free with MIT license, no login required
Cryptographically signed receipts verifiable offline
Orgabot
RailCall