ZANUS AI FOR PHARMA & BIOTECH — AI WORKFORCE

The associate who never misses a Monday.

Assign work to the AI the way you assign it to a scientist: type, sources, deadline, recurrence. Weekly literature surveillance, monthly stability summaries, quarterly deviation trend reviews — executed on schedule, with citations, under review.

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

Assigning AI work with the four-step wizard

Four steps: work type, source libraries, tags, schedule — the AI takes it from there.

What it does

Work types for the pipeline

Literature review, deviation trend report, stability summary, competitor filing watch: work types molded to your programs, each with default sources and examples.

Urgent / Overdue / Today

The AI’s workload is managed like the team’s: one-click views show what is urgent, late and due — the submission-support draft does not slip silently while everyone watches the trial.

Every session on the record

Reasoning streamed live, sources cited, milestones tracked — supervisable mid-work, auditable after. A diligent junior scientist whose notebook is always complete.

Monday, 7 AM: the literature review is filed

Set “Weekly Safety Literature Surveillance” once: every Monday the AI sweeps the sources your medical team designated, summarizes new findings with citations, flags anything matching your watch terms, and files the report for medical review before standup.

Recurring schedules for periodic regulated work
Findings cited to the underlying paper or record
Report waits in Output for medical sign-off

Roster of scheduled AI works for a biotech team

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

Can our QA unit supervise a work in progress?

Yes — open any session, read the streamed reasoning, redirect it or stop it. The AI works like staff: visible, accountable, interruptible.

What volume can it absorb?

The constraint is your review capacity, not the AI’s stamina. Deployments size from a single lab to multi-program organizations — flat price, unlimited users.

The associate who never misses a Monday.

What it does

Monday, 7 AM: the literature review is filed

Questions, answered

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