Interactive worlds for people and AI to build, learn and solve problems together
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Free
Pricing
Free for one developer with up to 25 source-built services, 50,000 tool calls a month, then $0.20 per thousand. Team plan is $25 per developer per month with 100,000 tool calls per developer a month, pooled, then $0.20 per thousand. Enterprise from $1,500 per month.
Not given
Key features
Source-built servers with TypeScript or Python projects
Remote MCP, OpenAPI, npm package, and container image support
Per-tool and per-argument access control policies
Tool definition review and approval workflow
Content scanning with literal and regex detectors
Activity tracking and audit trails
OIDC and SAML 2.0 single sign-on
SCIM 2.0 provisioning
Workspace-specific data encryption
Custom domain publishing with DNS and Cloudflare certification
Photo to brick set conversion with 3D preview and parts list
Workbench for collaborative brick-by-brick editing
MCP server integration with Claude Code, Codex, Cursor and more
Build structure checking and validation
OAuth sign-in with no token storage
Offline build access with local browser storage
Export digital manuals and wanted parts lists
Interactive environments for AI training
Consent-based human demonstration recording
What makes it different
One endpoint replaces every client config, eliminating need for each client to store every server and secret
Coding agent builds the server automatically with no adapter needed
Credentials held once by Rayrun instead of distributed across clients
Built-in security review with published controls and audit trails for compliance teams
Support for multiple service types without writing adapters
Checked outcomes - part connections and build validity are verified by software before delivery
Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
People and AI work on the same design simultaneously within the workbench
Measurable AI learning with transfer testing across different worlds