Build, deploy, and scale autonomous AI agents with expert human oversight
Open-source AI agent orchestration platform for incident response and automation
Stage
Established
Not given
Founded
2021
Not given
Based in
US
Not given
Pricing model
Contact for pricing
Open source
Pricing
Fixed monthly subscription with custom pricing based on user licenses and needs. No hidden fees, annual subscriptions with monthly payments. 2-day expert-led discovery workshop costs are 100% credited toward subscription pricing.
Not given
Key features
Enterprise Context Engine™ to structure organizational knowledge for AI decisions
Agentic AI agents that scan, test and act on data on schedule or on demand
No data migration required; connects to existing systems
700+ prebuilt data connectors and integrations
Deployment on AWS, Azure, or GCP with flexible hosting options
Enterprise compliance: SOC 2 Type II, HIPAA, GDPR, ISO 42001
Model-agnostic platform working with existing enterprise infrastructure
Compounding Intelligence where each solution builds on the last
Transparent and auditable workflows with full lineage tracking
Expert-led 2-day discovery workshops with PhD-level data scientists
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
Hybrid Approach™ pairing agentic AI with human expert oversight for accountability
Production-ready AI in weeks, not months
70% faster from start to go-live year over year
Outcome-based guarantees and PoC engagements for risk-free transformation
Full platform access for unlimited solution creation and deployment
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
RapidCanvas
Ryph