The lab notebook, not the patient
How an experiment was planned, run, troubleshot and written up is the kind of record labs can’t find in papers. Handshake AI lists pharmaceuticals and life sciences by name, and Grepped’s founder named chemistry as a sector in demand. Patient data is never part of it.
Why labs want it
Published papers show results. They don’t show the six failed runs, the protocol tweak that fixed them, the purchasing thread for the reagent, or the project plan that moved a program from discovery to a development decision. That operating record is what buyers describe.
Handshake AI lists pharmaceuticals and life sciences among its industries, naming research documentation, lab protocols and development workflows. Dealroom reports that Grepped’s founder named chemistry as one of the sectors in demand.
Where this is reported, as of October 2026. None of these companies is a SellMyData customer; they are the public record of what buyers are asking for.
- Handshake AILists pharmaceuticals and life sciences among its industries: research documentation, lab protocols and development workflows. Handshake AI data partnerships.
- DealroomReports that Grepped’s founder named accounting, legal, chemistry and semiconductors as sectors in demand. Grepped dangles $9M VP role as AI data-licensing boom heats up.
- MIT Technology ReviewReports that demand for companies’ operational data took off as labs hit the limits of public and synthetic data. AI labs are buying data from dead startups to train their models.
What sells in biotech and life sciences
The five data types →Messages
Project channels, CRO and vendor threads, experiment planning and the troubleshooting conversations around a run.
Slack · Teams · Gmail
Code
Analysis pipelines, lab-automation scripts and data-processing notebooks with their commit history.
GitHub · GitLab · Jupyter
Documents
Protocols, SOPs, lab notebook entries, batch records, study reports and project plans.
Benchling · LabArchives · Labguru
Records
Inventory, purchasing, equipment logs, sample tracking without donor identities, and the ledger.
Quartzy · LIMS · NetSuite
Tasks
Project boards, equipment and facilities tickets, and the task history of a program from kickoff to decision.
Jira · Asana · Monday
Tool names are the ones we see most in this industry. If yours isn’t listed, it almost certainly still counts: take inventory and we’ll tell you.
What stays out
- Patient data and PHIClinical records, patient samples tied to people, trial subject data and anything covered by HIPAA or a consent form are never in scope. The dataset is about how the business runs, not about patients or donors.
- Trade secrets you choose to keepDe-identification removes people, not IP. You decide which programs, sequences and methods are in scope, and you can keep the crown jewels out.
- Partner and CRO materialData covered by an MTA, collaboration agreement or CRO contract that doesn’t allow this stays out. The rights check goes through those agreements with you.
- HR and personal channelsDirect messages, HR channels, payroll files and anything about an individual employee stay out.
Full detail: what we remove and how rights are checked. We don’t buy consumer personal data, health records tied to people, or payment card data.
How it works
- STEP 01
Value it
Answer a few questions and get an estimated range. Nothing is shared yet.
- STEP 02
Share your exports
We walk you through exporting from each tool you choose, for the date range you choose. We never write to your systems.
- STEP 03
Approve the listing
We strip names, contacts and identifiers. You review the redacted preview and the price before any lab sees it.
- STEP 04
Get paid
When a lab buys a license, you get paid. We aim to pay within 7 days of the sale closing.
Today this is done by hand, with you. You export, we clean and prepare, you approve. How you stay in control.
Questions from biotech and life sciences
Is any human-subject or patient data involved?
No. Patient data, PHI, trial subject data and samples tied to identifiable people are out of scope from the start, and we check exports for anything that slipped in.
Our protocols are our IP. Why would we license them?
You might not license all of them. Companies typically keep core programs out and license older projects, platform methods that are already published, or the operating record around the science: planning, purchasing, equipment and project management.
We work with CROs and academic partners. Whose data is it?
That is settled in the rights check. Material under an MTA, a collaboration agreement or a CRO contract is scoped according to what those agreements allow, and left out where they don’t.
Does a closed program have value?
Yes. A program that ended, with its full planning, experiments and decision record, is a complete dataset, and it’s one companies are often most willing to license.
Something else? Email micki@sellmydata.com.