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Rayrun vs iLang Inc.

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Rayrun compared with iLang Inc.
DetailRayrun logo RayruniLang Inc. logo iLang Inc.
What it doesOne endpoint for every MCP tool The native language of AI; in human terms, a protocol.
StageNot given Startup
FoundedNot given 2026
Based inUS CA
Pricing modelFreemium Open source
PricingFree 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
  • AI-native communication protocol with 88 verbs and two syntaxes
  • AI See: give any AI model vision by pasting i.ilang.ai URLs
  • Zero installation required, pure text format
  • Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
  • Loader available via pip and npm for automatic protocol injection
  • Prompt compression: 67% reduction in tokens for typical instructions
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
  • First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
  • Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
  • Open source and MIT licensed with no royalties or approval required
  • Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
  • Tested and benchmarked with public conformance results and DOI-registered research
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)45 no change since last check38 +1 (up) since last check
Trust Flow (Majestic)127
Citation Flow (Majestic)3627
Referring domains (Majestic)12566

5 details filled in for both companies.

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