Agricol

aagricol RESEARCH COMMERCIALIZATION
OFFICE OF TECHNOLOGY COMMERCIALIZATION1,842 opportunities · 214 active · 47 dormant awakening

Every discovery deserves
a path to impact.

Agricol is an autonomous research commercialization platform for universities, research institutes, academic medical centers, and national laboratories. It discovers value in research, moves it toward the people who can use it, and turns more of it into durable revenue and real-world impact.

Fully automatedwhere policy permits and Fully governedeverywhere
// the loop

Commercialization as a continuous loop — not disconnected administrative workflows.

Historically, thousands of small acts of research, judgment, packaging, outreach, follow-up, and portfolio management have been expensive because skilled people must perform them manually. Agricol changes that economics — every meaningful opportunity gets its own persistent commercialization effort.

  1. 01Discoverpublications · disclosures · repos · lab capability
  2. 02Understandevidence · maturity · contributors · provenance
  3. 03Evaluatenovelty · market · protectability · uncertainty
  4. 04Protectfilings · confidentiality · publication timing
  5. 05Positionaudience-specific briefs · data rooms · roadmaps
  6. 06Matchcompanies · investors · founders · funders
  7. 07Engageoutreach · warm intros · relationship graph
  8. 08Diligencetechnical Q&A · evaluation · terms
  9. 09Transactlicense · option · sponsored · joint dev
  10. 10Launchstartup formation · commercial rollout
  11. 11Growmilestones · royalties · portfolio autopilot
  12. 12Learnwhat worked · what waited · what changed

Each opportunity has agents continuously advancing it. If an action can safely happen automatically, it happens. If policy requires review, it stops at the exact approval boundary. If expert judgment is required, Agricol assembles the evidence and asks the right person the smallest useful question.

// governed autonomy

The institution decides
where autonomy belongs.

Every turn can operate anywhere on the spectrum — fully automatic, within policy, requiring approval, as a recommendation, or as a human workflow with agent assistance. Automation does not require surrendering control. Governance is not a compliance report after the fact. It is part of execution.

01 · FULLY AUTO

Agents act

Within a defined policy envelope. No approval required.

02 · AUTO IN POLICY

Agents act, log

Every action recorded and auditable. Escalates on threshold.

03 · APPROVAL REQUIRED

Agents propose

Human approves or edits before the action leaves the institution.

04 · RECOMMENDATION

Agents advise

Human decides. Agent assembles evidence and suggested next step.

05 · HUMAN-LED

Humans act, agents assist

Full manual workflow. Agents draft, research, and remember.

EXAMPLE POLICY · SEMICONDUCTOR LAB · DIRECTOR APPROVED
Market researchfully automatic
Prior-art searchfully automatic
Non-confidential summarytech manager approval
Outreach to companiesauto after summary approved
Confidential disclosurerequires NDA verification
Proposed licensing economicsdirector recommendation
Final agreementsauthorized signatures only
Researcher-facing questionsautomatic, batched
Different technologies can use different rules. Autonomy is granted, not assumed.
// relationship graph

Before cold outreach, ask if we already have a path.

Perhaps an alumnus works at the target company. A faculty member collaborates with its R&D group. The institution licensed a related technology to it years ago. A board member knows its CEO. The institution's network becomes a searchable commercialization asset.

RESEARCHERDr. Chen TECH#8412 PATENTUS-4239 ALUMNIS. Patel '11 COMPANYNovaChem FACULTYDr. Ito EXECCTO, NovaChem INVESTORFoundry VC SPONSORED2021 · NovaChem PRIOR DEALAdjacent IP · '19 Path found — 3 warm intros before cold outreach
// the revenue flywheel

The institution stops processing IP.
It starts building an economic engine.

Timing matters. A technology can be commercially unattractive today and valuable three years later because markets, regulation, adjacent technology, or corporate strategy changed. Agricol puts opportunities to sleep without forgetting them — and revisits the entire portfolio using current market conditions and current AI capabilities.

01

Never forget an opportunity

Dormant opportunities wake when a market grows, a competitor raises capital, regulation changes, manufacturing improves, a company hires in the area, or a new application becomes possible.

A living option portfolio
02

Re-mine the portfolio forever

A patent filed seven years ago may have been ahead of its market. A dataset created for one purpose may now support a new industry. Agricol repeatedly asks: what do we already have that the world has only now become ready for?

Revenue from research already paid for
03

Cross-research synthesis

A materials breakthrough may solve a biomedical problem. A vision method may unlock manufacturing. Two datasets may be more valuable together. Agricol surfaces combinations no single researcher would encounter.

Not only commercial — new invention opportunities
04

Institutional memory

Why an opportunity was deprioritized. Why a company declined. Which technical concern blocked a deal. What changed later. Staff turns over. The system does not relearn the same lessons every few years.

The office stops rediscovering itself
THE COMPOUNDING LOOP more research discovered → more matched → more conversations → more licenses, startups, sponsored research → more market intelligence → better matching
Coverage of opportunitynot just deals closed — what percentage of viable IP received serious commercialization effort
Time to first engagementhow quickly a new disclosure meets its first plausible partner
Reactivated dormant techopportunities awakened by market change, now moving again
Warm-intro rateshare of outreach that started from an existing institutional relationship
Discover.·Match.·Engage.·Transact.·Grow.·Learn.

Human attention is spent
only where it creates value.

Agricol transforms research commercialization from a queue of disclosures into a continuously operating economic engine — and turns the research university's accumulated knowledge into a portfolio that can keep growing in value long after the original work is complete.

agricol.