Ship AI features without building RAG from scratch.
Your product docs, FAQs, changelogs become a live AI agent embedded directly in your product. No ML team. No vector DB maintenance. Just an API.
THE STATUS QUO
Documents are dark matter to AI agents
You have thousands of documents — contracts, specs, runbooks, research. Your AI agents have none of it. Not because the models aren't good enough. Because there's no infrastructure to connect them.
0%of enterprise knowledge trapped in unreadable docs
0moaverage time before docs drift from ground truth
$0.0Mlost annually to bad retrieval per 100 engineers
INTRODUCING A NEW CATEGORY
Document-to-Agent Infrastructure
A new infrastructure layer that sits between your document corpus and your AI agent layer. It parses, structures, indexes, and exposes your documents as queryable, reasoning-capable agent nodes — automatically, continuously, at scale.
HOW IT WORKS
From static corpus to live agent mesh.
01 — Connect Your Corpus
PDFs, Word, Confluence, Notion, S3, SharePoint — DuzDoc ingests any document source via API or connector. Zero preprocessing required.
02 — Parse, Chunk, Enrich
Our pipeline auto-detects document type, extracts semantic units, builds a knowledge graph, and enriches with metadata. No manual tagging. No prompt engineering needed.
03 — Deploy as Agent-Ready Nodes
Each document becomes a queryable, callable agent node. Expose via API. Compose into multi-agent workflows. Embed in your product in minutes.
ARCHITECTURE
Built for production. Designed for composability.
WHO IT'S FOR
Three teams. One infrastructure.
Turn institutional knowledge into always-on agents.
Compliance docs, SOPs, HR policies — queryable by any employee, any time, without a help ticket. Knowledge that works while your team sleeps.
Compose multi-agent workflows on a structured corpus.
Use DuzDoc as the knowledge backbone for your multi-agent systems. Structured, versioned, observable. The missing layer your LLM orchestrator needs.
MARKET TIMING
The window is open.For the next 18 months.
LLMs are production-ready. Agents are not.
The agent layer is production-ready in model capability. But 89% of enterprise agent projects stall at knowledge integration.
RAG is broken at scale.
Custom RAG pipelines cost $500K–$2M to build, 6–18 months to ship. They break when documents change. They don't compose. Infrastructure is the answer.
Documents are the enterprise knowledge layer.
93% of institutional knowledge lives in unstructured documents. That's the agent's blind spot — and DuzDoc's market.
EARLY TRACTION
Built in stealth. Trusted early.
0,200+developers on waitlist
0design partners across 3 continents
$0spent on acquisition — all word-of-mouth
We replaced 8 months of RAG work with DuzDoc in a single sprint.
The infrastructure layer is being laid.Get on it early.
No credit card required · Free tier forever