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Life sciences

AI training for life sciences teams, on the GMP decisions they make every week.

Instructor-led courses for pharma and medical device. Pairs work through batch release, deviations, drift on the line and audit trails with AI beside them, and every decision is scored.

Book a demo See the courses

Delivered with NIBRT in Dublin since June 2026.

Trainees in lab coats with iPads in front of NIBRT's bioreactor suite. The people are AI-generated.
Illustration: NIBRT's bioreactor suite in Dublin, with AI-generated people.

Two courses, built from the decisions your people make.

What trainees practise

The calls your people make, practised before they count.

Each exercise ends in a decision a pair has to make and defend, on a scenario built from real site work.

  1. Bioreactor pH excursion: root cause investigation Pharma
  2. The CAPA investigation copilot Medical device
  3. In-process control drift: stop the fill line? Pharma
  4. Drift on the line: stop or ship? Medical device
  5. Audit trail review: data integrity red flags Pharma
  6. Audit-ready AI: device history record red flags Medical device
  7. Batch record exception triage Pharma
  8. Column lifetime prediction: replace it now? Pharma

The idea

The AI is right about what it can see. People add what only people know.

Trainees learn what AI does well, where to be sceptical of it and when to trust their own judgement. In the pharma course some of the AI's answers are wrong on purpose, because the lesson there is scepticism.

A chart from the Golden Batch exercise: a pale band, the golden tunnel, holds 42 good batches; one batch leaves it at hour 196.
From the Golden Batch exercise. The AI compares every batch with 42 good ones and flags batch 26-0422 at hour 196. Working out why is the trainees' job. Fictional data from the exercise.

Where the return comes from.

01Evidence, not attendance

Every trainee leaves with a course record of scored decisions, so you can show what your people can do, not that they signed in.

02Fewer avoidable errors

Over 80% of process deviations in pharma are attributed to human error, a causal factor rather than a root cause. Better judgement targets that share.

Industry figure, not a Symerse result. PwC Belgium, 2025.

03Practice after the course

Alumni keep practising on their own device for 12 months, with their own work preserved, so the course does not end at the door.

Read the evidence

For life sciences sites and the institutes that train their people.

Manufacturing sites

Evidence of judgement, not an attendance sheet.

For training and operations leads at pharma and medical device sites. We run cohorts at your site on our iPads.

For manufacturing sites

Training institutes

Practical AI courses on your own instance.

Your trainers deliver the courses on your own Symerse instance, with certificates that carry your name.

For training institutes

Questions life sciences teams ask.

Do trainees need to know anything about AI before the course?

No. Most trainees on the flagship course have never had a conversation with an AI model before the first exercise, so that exercise is an open conversation with no mark. The course starts from the work trainees already do.

Does it work without a GMP suite?

Yes. The course runs in an ordinary classroom, and a physical GMP suite is not required.

What does each trainee leave with?

A co-branded certificate, a full course record of their decisions and scores, and an alumni code to keep practising on their own device for 12 months.

Does the course certify EU AI Act compliance?

No. No course can certify EU AI Act compliance, and we do not claim to. The course builds the practical AI literacy that Article 4 of the Act asks organisations to ensure in their staff.

Bring one cohort. See the record they leave with.

Book a demo

A 30-minute call with the engineers who built it. No slides.