AI-powered enterprise intake and process orchestration platform
Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
Stage
Not given
Established
Founded
Not given
2017
Based in
US
US
Pricing model
Contact for pricing
Contact for pricing
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
One integrated runtime combining neural and symbolic systems
Deterministic policy enforcement before action
Complete execution trace for every turn
Natural language program authoring with code generation
Consistent decisions from identical inputs
CPU-based logic execution with lightweight language models
Managed service and custom enterprise deployment options
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
Symbolic logic governs decisions instead of neural weights
Lower operational costs through CPU-based logic and lightweight models
Tonkean
Apollo-1