Context Transfer Protocol · v1.0

The infrastructure layer between your organization and every AI tool.

contxtmd transforms documents, recordings, spreadsheets, and emails into a structured, versioned, AI-ready knowledge base — customized to how your organization actually works. Adopt a ready-made vertical application, have us build one for you, or plug your existing platform directly into our engine.

contxtmd · Ingest → Structure → Export
Q1-plan.pdf DOC
board-call.m4a AUDIO
pipeline.xlsx SHEET
founders@… EMAIL
notion.so/ops URL
ENGINE Context
Engine
claude.ai CLAUDE
cursor IDE
notebooklm RAG
gpt-project GPT
/mcp AGENT
Deployed across institutions, innovation hubs, and enterprise teams
Three paths

One engine. Three ways to make your organization AI-ready.

Whether you want a ready-made product, a platform built for your exact workflow, or an API for the app you're already shipping — we meet you where you are.

01 · Adopt

A ready-made vertical application.

Pre-shaped applications for startup founders, universities, innovation hubs, and specialized enterprise functions. Deploy in weeks, not quarters. Branded, configured, and tuned to your domain’s taxonomy out of the box.

Find your vertical
02 · Commission

A custom build for your organization.

Hospital system? Sovereign wealth fund? Government innovation program? We scope, build, and deploy a branded contxtmd instance shaped around your taxonomy and workflow in 6–12 weeks.

Scope a build
03 · Integrate

Plug your platform into the engine.

REST API, MCP server, and TCP-compliant context packages. Let your app, your agent, or your RAG pipeline query structured organizational knowledge on demand. Standards-based. Portable. Documented.

Read the API docs
Case study · 2026

A leading research university turned 4,967 pages into institutional intelligence.

Fifteen years of institutional knowledge — faculty, programs, research, events, facilities, alumni — lived across three folder structures, six content management systems, and one Vice Chancellor's memory. contxtmd ingested the entire public and private corpus, built a ten-domain institutional taxonomy, and produced a ten-dashboard intelligence platform that sits behind the VC's single AI query interface.

Read the full case study
Ingested corpus
4,967pages
RAG-ready output
21,968chunks
Taxonomy nodes
10domains
Time to first export
<24hrs
Pricing

Scoped to how you use the engine.

Start free, scale to pro, buy a custom build, or pay for API usage. Every path starts with a conversation.

Starter

For founders and small teams.

Get started with the founder-shaped vertical application.

Free/ waitlist
  • Ready-made founder vertical
  • Multi-format ingestion
  • Claude / Cursor / NotebookLM exports
  • Community support
Join waitlist
Enterprise + Build

For institutions with scope.

A custom vertical application, deployed in your infrastructure.

Scoped/ project
  • Custom vertical application
  • SSO, SAML, audit, redaction
  • On-prem or VPC deployment
  • Dedicated architect
Talk to sales

Ready to make your AI tools actually know your organization?

Book a discovery call, join the waitlist, or read the TCP spec — whichever path fits where you are.