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🧪 Data partnerships · Pharma & Life Sciences

AI training data partnerships for pharma and life sciences companies

Pharmaceutical and life sciences work is documented in exceptional detail because GMP and GLP rules require it. Batch manufacturing records, deviation reports, CAPA investigations, analytical methods and regulatory dossiers all record how decisions are made and checked. That makes the industry a rich source of structured, verifiable workflow data, alongside serious IP and patient-safety considerations.

Can pharma and life sciences companies license or sell their data for AI training?

Pharma and life sciences companies can license qualifying GxP documentation as AI training data once it is anonymized. Deviation and CAPA investigations, GMP SOPs and quality records, and regulatory submissions with regulator query responses are the most valuable assets. Formulations and pipeline IP stay under your control, and trial or adverse event data is excluded or fully de-identified.

No files needed upfront. We sign an NDA before reviewing any sample.

Data pharma and life sciences companies hold that AI can learn from

SOPs and quality documentation

GMP standard operating procedures, change controls and training records show how regulated processes are defined and enforced.

Deviation and CAPA investigations

Investigation reports with root cause analysis and corrective actions are complete problem-solving records with clear outcomes.

Batch manufacturing records

Executed batch records and review comments document each step of production and how anomalies were handled.

Regulatory submission documents

Sections of CTD dossiers, query responses from regulators such as CDSCO, FDA or EMA, and the revisions that followed show regulatory writing at work.

Electronic lab notebooks and methods

Analytical method development and validation records show experimental design and interpretation.

Pharmacovigilance case processing

De-identified adverse event case narratives and causality assessments show a structured safety evaluation workflow.

What this data helps AI models learn

Quality investigation support

Deviation and CAPA records can teach models to structure root cause analysis and propose corrective actions.

Regulatory writing

Submissions and query responses help models draft documents in the expected format and tone.

Lab and scientific reasoning

Method development records show how scientists design, run and interpret experiments.

Privacy and compliance, handled first

You decide what is in scope, nothing moves before an NDA, and data is anonymized before any further use.

Unpublished research and trade secrets

Formulations, synthesis routes and pipeline data are core IP. You decide what is in scope, and the agreement can restrict permitted use and retention.

Clinical trial and patient data

Trial participant data and adverse event reports contain health information. These are excluded or fully de-identified, consistent with trial consent terms and applicable law.

GxP data integrity

Validated systems and controlled records must stay intact. Any export is a copy, handled so it does not affect your validated systems or audit trails.

How a partnership begins

01 / CONTACT

Share Basic Information

Share only your contact, company, industry, and partnership interests—no raw data required.

02 / DISCOVER

Initial Value Assessment

We discuss the data type, completeness, scarcity, and the tasks it could support.

03 / PROTECT

Define the NDA and Boundaries

Before reviewing any sample, we define confidentiality, permitted use, retention, and security requirements.

04 / PARTNER

Receive an Offer and Begin the Partnership

We provide a purchase proposal and contract, then support de-identification and secure data transfer.

Frequently asked questions

Will sharing SOPs expose our processes to competitors?
Generic SOPs reveal little, while product-specific ones can be excluded or anonymized. Permitted use is set in the signed agreement.
Can CROs and CDMOs take part?
Yes, though much of their documentation relates to sponsor products. That data may need the sponsor's permission.
Is pharmacovigilance data in scope?
It may be, in fully de-identified form and where your obligations allow. It is reviewed carefully because it involves patient health information.
What about older paper records?
Scanned records can sometimes be used, depending on quality and completeness. The initial assessment covers format.

Related

Tell us about the real workflows behind your business.

Share only the essential details. No files are required at this stage.

Contact the Momentra team