AI-powered enterprise intake and process orchestration platform
Context infrastructure for AI agents
Stage
Not given
Startup
Founded
Not given
Not given
Based in
US
GB
Pricing model
Contact for pricing
Freemium
Pricing
Custom pricing based on Monthly Tracked Users (MTUs) and deployment options. The platform includes unlimited workflows, connectors, data, and automation. Optional single-tenant dedicated, customer cloud-hosted, and customer-hosted on-prem hosting available for Enterprise customers at additional cost
Not given
Key features
Agentic Orchestration Engine with agent autonomy, deterministic process logic, and context graph
Unified Control Plane to manage all processes across departments, people, AI, and systems
Enterprise-Grade Runtime for mission-critical processes with governance and compliance
No-Code Process Builder with drag-and-drop workflow tools
Data Source Integrations connecting 250+ applications
Enterprise Agents for specialized tasks like procurement, legal, and invoicing
Real-time dashboards and operational visibility
Collaborative Intake for tailored request handling
Contracts Hub for AI-native contract orchestration
Memory system with self-managing advanced memory
Isolated per-tenant instances with version rollback
Portable context server with files, notes and links
Sub-document multi-modal hybrid search
Structured data extraction from PDFs, websites and images
Autonomous agents for knowledge base automation
99.9% uptime SLA
AES-256 encryption at rest and SSL in transit
TypeScript SDK and REST API
Model-agnostic and framework-agnostic
What makes it different
Most comprehensive agentic orchestration platform purpose-built for enterprise AI adoption at scale
Enables non-technical process owners to deploy and refine AI agents without IT involvement
Integrates with 250+ enterprise applications without requiring replacement of existing systems
Proven track record with enterprises achieving 2.2X adoption increase and 50% cycle time reduction
Ensures enterprise governance, compliance, and audit controls for mission-critical processes
Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
State-of-the-art on two leading AI memory benchmarks
Full-stack data layer eliminating need for multiple services
Production-tested at scale powering Fabric platform
Self-improving memory that tracks relationships and resolves contradictions
Tonkean
Exabase