Free: 500 credits/month, one workspace. Team: $49/month, 3,000 to 80,000 credits/month (fee scales with credits chosen). Enterprise: Custom pricing with volume-discounted usage, customer workspaces via API, pooled credits with spend limits per customer.
Key features
Context Graph of Work - continuously updated model of how work gets done across enterprises
Blueprint for AI roadmap planning with defensible ROI recommendations
Process Intelligence to identify bottlenecks and prioritize automation
Engineering Intelligence for unified view of developer work
Work-aware agents grounded in real operational context
Zero-integration capture across legacy and modern systems
In-environment processing with data staying in customer perimeter
Agentic Operating Procedures for governed agent execution
Audit logs and compliance tracking for every agent decision
Built on 25B+ events from 500+ observed processes
Agent delivery via app, Slack, Claude, ChatGPT or events
Automatic agent versioning from underperforming runs
Stack review and consulting services
Organization API with webhooks and delivery history
SSO and SAML on Enterprise plan
What makes it different
Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
Delivers AI agents that work in production at scale, not just pilots
Provides measurable ROI and audit trails for AI spending and decisions
Privacy-first architecture keeps sensitive data within customer environments
Outcome-driven improvement: runs are scored against your goals and underperforming versions automatically improve
Hands-on engineering: optional stack reviews and agent builds for customers who want expert implementation
Skan AI
Levain Labs