Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge
High-assurance infrastructure for AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
AE
US
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
Harpe: chooses what an AI agent reads under a token budget with consistent results
Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
Argus: append-only record that detects edits with cryptographic verification
No network code by default for local and disconnected use
MIT License with published code, benchmarks and raw results
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
Measured empirical validation across 6,111 questions outperforming full-context models
Zero plaintext on disk with encrypted vaults matching plaintext accuracy
78.3% fewer tokens sent to the model with a 1,200-token budget per turn
Preserves conversational chronology and relational qualifiers under token budgets