The native language of AI; in human terms, a protocol.
Managed MCP connectors for business
Stage
Startup
Not given
Founded
2026
Not given
Based in
CA
AU
Pricing model
Open source
Freemium
Pricing
Not given
Solo: Free, then $0.01 per external tool call (1,500 free calls to start). Pro: $49/month with 10,000 included calls, then $0.01 per additional call. Scale: $199/month with 50,000 included calls, then $0.01 per additional call. Enterprise: Custom pricing with invoicing for more than 3 workspaces or
Key features
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
122+ managed connectors to business tools
Skills: reusable procedures for consistent AI execution
Tables: persistent records AI maintains between chats
Secure client connections without password sharing
Team profiles with per-user tool permissions
98.7% token reduction vs loading all tools at once
Works with Claude and ChatGPT through MCP protocol
What makes it different
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
Works across 120+ tools in one MCP connection, no coding required
Encrypted credentials kept separate from AI, with granular access control
98.7% fewer tokens through on-demand tool loading and server-side queries