Drawbridge Protocol · Pre-launch
Your LLM Remembers
Everything Now.
The Drawbridge Protocol compresses session context into a minimal token — and reconstructs it fully, from any fragment, across any window, on any platform.
How It Works
Three principles. One protocol. No context left behind.
01 · Core Compression Cycle
Dehydration → QR Bean → Hydration
Collapse full conversation context — natural language, tabular, or structured — into a single compressed token. Reconstruct it completely via deterministic hydration paths.
This is not a summary. It is the full original, retrievable from a token smaller than a tweet.
Dehydrate ↓
↓ Hydrate
02 · Resilience
Session Bridging Across Platform Updates
When a platform updates its model or resets context, Drawbridge reconstructs from any surviving fragment. Each token carries the full DNA — like a starfish regrowing from a single arm.
03 · Integration
Drop-In for Existing Infrastructure
Designed to sit inside existing LLM monoliths — Google, Microsoft, Gemini — as a compression and retrieval layer. No rearchitecting. No disruption. One integration point.
Get Early Access
We're onboarding a limited group of AI infrastructure teams to test the Drawbridge Protocol. Join the list.
Access
No paid tiers. No usage fees. Beta access is free for selected teams.