Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
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,
Open source under Apache-2.0 license. WARM Cloud is in development with usage-based pricing for sync, backup and verification; details to be published at launch.
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
Hybrid search combining BM25 lexical and vector scoring
Vertex graph vector index with 2.29-2.75x throughput vs hnswlib
Vector-symbolic fact memory with holographic reduced representations
AES-256-GCM encryption at rest with Argon2id key derivation
Signed audit log with Ed25519 and W3C DID identity
Secure purge that overwrites deleted data with zeros
Crash-safe append-only log with checksumming
Native Rust API with Python HTTP client and Node.js bindings
MCP server integration for editors and AI agents
WARM Cloud sync, backup and verification without server access to keys or documents
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
Runs entirely locally in your process with no network calls or telemetry
Encryption at rest built into the open-source engine itself, not an enterprise add-on
Significantly faster vector search than hnswlib with graph-indexed vertex retrieval
Signed provenance and verified audit trail using C2PA, COSE and SCITT standards
Embedded library model eliminates dependency on external services or vendor lock-in