The agentic OS built for the enterprise sales function
Stage
Not given
Not given
Founded
Not given
2023
Based in
Not given
US
Pricing model
Freemium
Paid
Pricing
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.
Build free. Take agents to production: $100K a year to start, includes software and team support. Govern every agent: customized pricing. Agent-months billing: Assistant (½ agent-month), Specialist (1 agent-month), Expert (2 agent-months). No token billing.
Key features
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
Account prioritization ranked on fit, intent, timing and prior engagement
Prospect research with deep briefs including funding, hiring, tech stack, and stakeholders
Personalized outbound email, LinkedIn, and call scripts
Multi-channel outreach sequencing across email, LinkedIn, phone and ads
Automatic meeting booking with context sharing
Call intelligence and scoring against sales methodology
Automatic CRM updates for contacts, activities, and deal stages
Pipeline risk detection and deal velocity analysis
Real-time deal coaching with battlecards and objection handling
Expansion and renewal workflow automation
What makes it different
Entire local runtime free with MIT license, no login required
Cryptographically signed receipts verifiable offline
80% reduction in AI costs compared to top models
No execution counters or machine count limits
Stays in your environment - deploys in AWS, Azure, GCP or on-premise with no data leaving
Revenue-first reporting that traces activity back to revenue goals rather than activity metrics
No lock-in with ability to export agents and workflows
Works with any AI model or framework
Production deployment in 30 days with co-built implementation