For Education

Unify 15 years of institutional knowledge into one intelligence platform.

Faculty, programs, research, events, facilities, alumni, grants, governance. All of it scattered across folders, inboxes, and institutional memory. contxtmd ingests your entire corpus — public and private — and produces one structured, queryable intelligence layer for human and AI access.

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The pain

Universities know everything. They just can't find any of it.

Every innovation office, VC's office, and dean's office we've talked to describes the same three problems. The pattern is universal.

"We don't know what our own faculty are working on."
Research, grants, and partnerships are tracked in a dozen systems by a dozen offices. There's no single view of institutional capability.
"Every leadership transition loses three years of context."
Incoming Vice Chancellors, deans, and directors inherit folders, not operating systems. Institutional memory walks out when people leave.
"Our AI initiatives don't know our institution."
Every custom GPT, every RAG pilot, every AI tool starts from zero context. The institution's own knowledge isn't in a shape that AI can use.
How it works

From scattered corpus to institutional intelligence in under 24 hours.

Scrape your public web, connect your private drives, pull in your email and calendar. We produce a structured taxonomy, queryable dashboards, and an AI-context layer for leadership.

What you'll get Vertical · In pilot

An institutional intelligence platform tuned to the university taxonomy.

  • 10-domain taxonomy: programs, portfolio, funding schemes, facilities, governance, partnerships, events, compliance, alumni, research
  • Automated web scrape + private drive ingestion (Google Drive, SharePoint, OneDrive, Dropbox)
  • Faculty database with automatic research / publication / grant enrichment
  • Dashboards for VC-level visibility: faculty, schools, research, activity feed, programs, finance
  • Single AI query interface — "Ask anything about the institution" — powered by the full corpus
  • Gated access — section-level permissions, SSO/SAML support, audit logs
  • Leadership transition artifact — structured handoff document for incoming roles
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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. Deployment completed in under 24 hours of wall time.

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

What education leaders ask before they pilot.

Do you need cooperation from every department?
No. The baseline deployment uses only public web content (scraped from your institutional domain). Private corpus ingestion is opt-in per department and requires only admin-level access from the sponsor.
How long does a pilot take?
A public-web-only deployment ships in under 24 hours. A full pilot with private corpus integration and dashboard configuration runs 4–6 weeks.
Can we host this inside our own infrastructure?
Yes. VPC and on-prem deployments are supported on the Enterprise + Build tier. Data residency requirements (EU, India, specific US states) are accommodated at pilot scoping.
How do permissions work for sensitive sections (HR, finance, board)?
Section-level access control. Restricted sections are visible only to named users, with audit logs on every access. "AI-only" mode lets sensitive content inform AI responses without being visible in the human interface.
Does it support SSO / SAML / our SIS?
Yes — SSO and SAML on Enterprise tier. Direct SIS integration (Banner, PeopleSoft, Workday) is scoped per deployment.
Who owns the structured knowledge base?
You do. Exports are standards-based (TCP-compliant) and portable. You can take the full corpus with you if you choose to stop using contxtmd.
What does a pilot cost?
Pilots are scoped per deployment. See /pricing for tier structure; exact pricing is confirmed during the discovery call.

Ready to give your institution a queryable memory?

Book a 30-minute discovery call. We'll walk through your corpus, your stakeholders, and what a pilot would look like.

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