Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge
Interactive worlds for people and AI to build, learn and solve problems together
Stage
Not given
Not given
Founded
Not given
Not given
Based in
AE
Not given
Pricing model
Freemium
Free
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
Photo to brick set conversion with 3D preview and parts list
Workbench for collaborative brick-by-brick editing
MCP server integration with Claude Code, Codex, Cursor and more
Build structure checking and validation
OAuth sign-in with no token storage
Offline build access with local browser storage
Export digital manuals and wanted parts lists
Interactive environments for AI training
Consent-based human demonstration recording
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
Checked outcomes - part connections and build validity are verified by software before delivery
Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
People and AI work on the same design simultaneously within the workbench
Measurable AI learning with transfer testing across different worlds