The native language of AI; in human terms, a protocol.
Stage
Growing
Startup
Founded
2022
2026
Based in
US
CA
Pricing model
Paid
Open source
Pricing
Pay-per-token for language models, per-minute for audio, per-image for image generation, and per-hour for GPU rental. No long-term contracts or upfront costs.
Not given
Key features
100+ machine learning models
Developer-friendly APIs
Text generation models
Image generation with Flux
Automatic scaling
Custom model deployment
Zero data retention policy
SOC 2 and ISO 27001 certified
Dedicated GPU clusters
Multi-GPU setups with SXM connections
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
Own cutting-edge inference-optimized infrastructure with secure US-based data centers
Zero retention policy with SOC 2 and ISO 27001 certification for data privacy
No long-term contracts or hidden fees with simple pay-as-you-go pricing
100+ production-ready models covering all major AI use cases
Customizable inference solutions tailored to cost, latency, throughput or scale priorities
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
iLang Inc.