ZANUS AI FOR PHARMA & BIOTECH — TRIAL DOCUMENTS

Ask the archive. It answers, cited.

Protocols and amendments, batch records, analytical methods, COAs, registration correspondence — loaded into curated libraries the AI reads from. Ask in plain language; get the answer with the source document attached, scoped to the asker’s role.

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Private tenant or your own server · unlimited users · GxP-conscious architecture

Study document libraries with priority order

Libraries in priority order: effective SOPs outrank drafts, current protocol versions outrank superseded ones.

What it does

Any format the lab produces

PDFs, Word, spreadsheets, scanned batch records, instrument printouts, images and media — the ingestion pipeline turns what your archive holds into queryable knowledge.

No source, no claim

The claim guard is absolute: the AI cites the protocol, the method or the record — or states it cannot answer. In regulated work, a confident guess is worse than silence.

Answers shaped by permission

The CRA asks about visit windows; the QA lead asks about the deviation history; the BD associate asks about published data. Each gets answers scoped server-side to their role.

The question that used to take an afternoon

“Which batches used raw material from this supplier?” “What did we tell the agency about this impurity in 2019?” “Which protocol amendment changed the dosing window?” The archive answers in seconds with documents attached — instead of a day of folder spelunking.

Plain-language questions across decades of records
Source excerpts attached to every answer
Priority order: effective versions always win

Vector store answering from trial and quality documents

Life-science software is sold per validated seat and per module — a LIMS here, an eTMF there, a QMS somewhere else — while regulatory affairs still re-types the same deviation data into three systems and the literature pile grows over the weekend. Zanus AI: one AI operating system across the trial, the lab and the submission — unlimited users, GxP-conscious by architecture, hosted in your private tenant or air-gapped inside your facility.

Questions, answered

Who can see unblinded or restricted documents?

Only roles you authorize. Permissions reach the field level and the server redacts what a user cannot see — a blinded team member cannot surface unblinded data even by clever phrasing.

Do our documents train outside models?

Never. Your tenant is isolated; your protocols, data and correspondence are yours alone — and the air-gapped on-premises option keeps them physically inside the facility.

Ask the archive. It answers, cited.

What it does

The question that used to take an afternoon

Questions, answered

See it working on YOUR lab — the demo IS the product.