AI-powered enterprise intake and process orchestration platform
Open-source AI agent orchestration platform for incident response and automation
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Contact for pricing
Open source
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
Incident response with agent investigation and pull request generation
Automated workflows triggered on schedules or webhooks
Agent summoning from GitHub, GitLab and Radicle with /ryph command
Semantic memory system for shared and persistent agent learning
Credentials kept behind gateways with no access in sandbox
Customized environments per repository with cached dependencies
Browser use for agent interactions with live watching
Artifacts and pages for reports and overviews
Deployment options from laptop to Kubernetes
Tool proxy with allowlisted MCP server integrations
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
Agents work without holding real credentials or keys
Changes ship as patches that require review before merge
Runs on your own infrastructure from laptop to cloud
Semantic memory learns across runs with deduplication and contradiction handling
Built-in safety assuming agents can be manipulated or exploited
Tonkean
Ryph