The Enterprise Agent Build & Runtime for the work your business runs on
The user-owned context backend for AI agents
Stage
Not given
Growing
Founded
Not given
Not given
Based in
Not given
US
Pricing model
freemium
freemium
Pricing
Free plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support.
Not given
Key features
Visual editor and AI copilot
No-code visual editor, exportable to Python
Code-first API built for total control
Real-time tracing of every LLM call, tool call, and memory read
RBAC and audit with immutable audit trails and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks inject PII redaction and policy checks
Automated and human-guided training for continuous improvement
Multi-LLM testing for model swapping at runtime
GitHub integration
One user-owned context for every agent
Agents wake up to what changed since their last loop
Readable, traceable context with every change logged
End-to-end encryption with AES-256
Granular sharing controls with revocable access
Right to export, delete, and transparency
Context that travels across AI products and models
What makes it different
Agentic use case generator powered by billions of agent runs
Intelligently guided by 700k agent workflow patterns
Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
Every production run turns into training data to sharpen accuracy and save money
User-owned context that travels with you across AI products
Traceable agent activity with full visibility and control
Agents coordinate through shared context without learning being trapped in silos