Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge
The native language of AI; in human terms, a protocol.
Stage
Not given
Startup
Founded
Not given
2026
Based in
AE
CA
Pricing model
Freemium
Open source
Pricing
Free eight-week pilot including onboarding and model costs. Three paid plans after pilot: Pay as you go (self-serve, usage-based), Subscription (self-serve, monthly or annual flat fee), and Managed (done by company, pricing quoted per site). All plans quoted per individual site based on page count,
Not given
Key features
AI agent rebuilds pages into semantic HTML, FAQs, and structured data
Vision pass captures facts locked inside images
Sifted pages use roughly 90% fewer tokens than originals
Served from edge, humans and search crawlers see original site unchanged
Before-and-after audit score for every page
Measures citations and AI referrals from sifted pages
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
Only AI agents see sifted pages; humans and Google crawlers see original site unchanged
Every claim traces 1:1 to original pages; AI never fabricates or adds content
90% fewer tokens per page while carrying 37% more readable content
Human in the loop approval for every page before serving to agents
Measures results with before-and-after comparison on your traffic
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
SiftServe
iLang Inc.