The Enterprise Agent Build & Runtime for the work your business runs on
Context graph for AI-native revenue teams
Stage
Not given
Established
Founded
Not given
2021
Based in
Not given
Not given
Pricing model
Freemium
Contact for pricing
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 context layer connecting all GTM tools and AI agents
Agent observability with end-to-end tracing
Source citations for every answer
Permission-aware answers scoped to user access levels
Playbook grounding to enforce business semantics
Corrections inbox for agent-generated changes
Integration with Claude, ChatGPT, Slack, Salesforce and other tools
Open Model Context Protocol (MCP) for any client
SOC 2 Type II compliance and GDPR/CCPA support
140x faster answers via pre-compiled context
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
40x lower cost through pre-compiled context vs raw data processing
98% answer accuracy with no hallucinations through checked data
Agent-agnostic: works with any AI tool your team uses
Never trains on customer data with enterprise-grade security
Set up within days with forward-deployed engineer support