R&D timelines, batch deviations and mounting regulatory documentation all pull at the same scarce experts, while every step has to stay GxP-compliant and audit-ready. We build AI that reads your lab, clinical and manufacturing data — speeding discovery, catching deviations early and taking the load off submissions and QA — with validation and a human in the loop throughout.
Last updated: 11 June 2026
AI helps pharma and life-sciences companies speed discovery and catch deviations early while staying GxP-compliant. Concrete uses include R&D and drug-discovery support, lab and clinical data analysis, GMP quality and batch-release support, and pharmacovigilance and safety-signal detection. Crux Digits builds these as custom tools at fixed prices, EU AI Act-aware and validation-first with a human in the loop, for companies in the Netherlands and the EU.
Pharma and life sciences run on huge volumes of data that no team can read in full — screening libraries, assay results, clinical records, batch logs, safety reports and thousands of pages of documentation. AI is good at exactly this: surfacing signal in dense scientific and manufacturing data, so experts spend their time on judgement, not on searching and transcribing.
We build models that respect the reality of a regulated environment — data integrity, GxP, validation, change control and human oversight — and connect them to the LIMS, MES and quality systems you already run, so an AI step slots into your validated workflow instead of sitting beside it.
Screen compounds and mine literature and internal data to prioritise candidates and hypotheses — so scientists explore the promising leads first.
Turn assay, instrument and clinical data into structured insight — spotting patterns, outliers and quality issues across studies faster.
Vision and analytics flag defects and out-of-trend results on the line, giving QA a documented head start on batch review and release.
Predict failures on production, utility and cleanroom equipment from sensor data to protect uptime, qualified state and product quality.
Triage case reports and mine safety data to surface potential signals earlier — with qualified staff reviewing every conclusion.
Intelligent document processing reads, checks and drafts submission, QA and batch paperwork — cutting manual handling and transcription errors.
We map where AI pays back first — your data, instruments and validated systems.
By the second call you get a working prototype on your own lab, batch or safety data — not a spec.
We integrate with your LIMS, MES and quality systems so insight becomes a validated, documented step.
We track results against your baseline and keep the model accurate and under change control over time.
We start with data you already generate — assay and instrument results, batch and equipment logs, safety cases and documentation. We work to ALCOA+ principles so records stay attributable, legible, contemporaneous, original and accurate, with the audit trail intact, and add new data capture only where it clearly pays back.
Yes — we integrate with common LIMS, MES, ELN and quality systems so an AI step reads and writes where your work already happens. We treat those systems as validated: we design the interface to respect their controls rather than working around them.
We build with validation in mind — clear intended use, documented testing, versioning and change control — so an AI step can be qualified as part of your process. It stays decision-support: a qualified person reviews and signs off, and the model never releases a batch or a safety conclusion on its own.
As a documented, controlled step, not a black box. We scope narrowly, keep the model's role and limits explicit, log its outputs for the audit trail, and keep humans accountable for every regulated decision — so AI supports your quality system instead of sitting outside it.
We can. Crux Digits is a boutique applied-AI firm based in the Utrecht region, working remotely or on-site with pharma manufacturers, biotech and life-sciences teams across the Netherlands and the EU. We are a small, senior hands-on team, not a large consultancy, with practical experience across vision, forecasting and document AI, and we build for GxP-regulated, validated environments with a human in the loop. We work in Dutch and English, founded in 2022.
We start with a short paid discovery to scope one real problem — a lab workflow, a batch step or a documentation load — then deliver at a fixed price with you owning the code and IP. On data: your R&D, clinical and manufacturing data stays yours; we apply data minimisation, keep it within the EU, work to ALCOA+ data integrity, and stay aware of the EU AI Act and GxP validation requirements. We keep a human in the loop rather than letting a model decide alone, and we make no claims about regulatory approval or clinical efficacy.
Tell us where time or deviations creep in — we'll map a compliant path to value in a free consultation.
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