Pharma & biotech

AI for the dossier, the protocol and the deviation report, without the data leaving your company.

Months of medical writing for a single module, deviations piling up unclosed and a weekly literature screen that waits for nobody. Inferana puts open models over that documentation, inside your perimeter, with every query logged.

The rules that apply to you, point by point

What each regulation in your sector requires, and which part of that the deployment solves.

GMP Annex 11

EudraLex Volume 4, computerised systems
What it requires

Validation, change control, access management and audit trail for computerised systems.

How we solve it

A dedicated deployment with a pinned model version, access control and a record of every interaction, the basis your team validates on.

21 CFR Part 11

FDA, electronic records and signatures
What it requires

Complete and attributable electronic records, with audit trails and access controls.

How we solve it

Every query is logged with user, team and timestamp, exportable into your document management system.

Clinical trials

Regulation (EU) 536/2014
What it requires

Protection of subject data and traceability of trial documentation.

How we solve it

Trial data is processed inside your perimeter, with prompts never stored or used to train models.

GDPR

Regulation (EU) 2016/679
What it requires

Minimization and confidentiality of health data, with control over international transfers.

How we solve it

Inference in the EU or on your own infrastructure, with prompts and responses never stored.

Your most common use cases

The same ones you already use, specific to your sector.

See all use cases

The dossier has been in writing for months.
And half of it is already written somewhere else.

The material exists, spread across reports, SOP versions and email threads, and every time someone has to pull it together the same things come back:

What happens today

We have been drafting Module 2 for months and the filing date has not moved.

Medical writing

Deviations pile up and the investigation gets written the week before the audit.

Quality assurance

The weekly literature screen eats up the whole of Monday.

Pharmacovigilance

Half an hour to find which SOP version was in force that day.

Manufacturing

If I cannot reproduce the answer, I cannot defend it to an inspector.

GxP systems

The molecule sequence cannot end up on someone else's server.

R&D

A dossier draft ended up in a tool we have not approved.

Regulatory affairs

With Inferana

A first draft of the module written over your own study reports, with sources cited so the reviewer lands on the data.
Every deviation arrives sorted by criticality, with a draft investigation and the history of similar cases already pulled together.
The literature screen comes through prioritised, with the reason for each selection in front of the reviewer.
The answer cites the SOP, its version and its section, so you know what was in force and since when.
A pinned model version per deployment and a record of every interaction: same input, same output, six months later.
On-premise inference on your own infrastructure: molecule information stays inside the company.
An approved tool inside your perimeter, with the draft and its sources under your document control.

Sector FAQs

No, and be wary of any vendor who claims otherwise. A computerised system is validated in the environment where it is used, with your procedures and your intended use, so the validation is yours. What we provide is what makes it possible: a dedicated deployment with a pinned model version, access control, a record of every interaction and the deployment documentation for your validation plan.

With the model version pinned in your deployment and the logged interaction: same model, same parameters, same input. A public endpoint that updates the model underneath you makes that reproducibility impossible. You decide when the version moves, and it goes through your change control.

Electronic signatures and record approval live in your eQMS or document management system. We provide an attributable record of every query, with user, team and timestamp, exportable to file with the record. Custody of the regulated record remains with the company.

Prompts and responses are never stored or used to train models, and with an on-premise deployment the data never leaves your infrastructure. Legal basis, informed consent and prior pseudonymization remain the sponsor's responsibility. Upfront anonymization reduces what reaches the model at all.

The answer cites the document, its version and the section, and the reviewer opens the SOP to check it. The index is built from whatever your document management system publishes, so you set what counts as current. A withdrawn document stops being indexed, and a stale index answers with stale content.

Yes, with the same key. There the query does go out to the model provider, so that mode is kept for public literature. Trial data and molecule information are handled with the open models inside your perimeter. It is configured per team.

You can audit us as a supplier, and with an on-premise deployment you audit your own infrastructure with the procedures you already run. For managed European infrastructure we hand over the deployment and service documentation. Scope and notice periods are set in the contract.

No. The API is OpenAI-compatible: swap the key and the endpoint and the code stays as it is. If the affected system is GxP, that change enters your change control and your qualification, which is your work no matter how compatible the API is.

Tell us what you want to deploy and we will show you where Inferana fits.

In the demo we go through your case: which models you need, where they run and what it takes to meet the regulation that applies to you.

We reply within one business day.