Pharmaceutical
Qualified equipment, demanding documentary traceability, requalification after every intervention. The inspection history is part of the file.
Articles in the pharmaceutical sector
Software and data
The Best AI Software for Industry, Sector by Sector
Food, pharma, medical or manufacturing: which AI software to choose for your sector, your constraints and the state of your data.
Quality and compliance
AI and industrial quality: what it flags, what the human decides
AI in industrial quality surfaces defects, sorts nonconformities and finds recurring causes. What it flags, what the human decides.
Quality and compliance
Detecting biofilms and bacteria: my UV 365 nm and AI hypothesis
UV-A fluorescence at 365 nm reveals organic residues, not bacteria. What it shows, its false positives, what AI can read in it.
Quality and compliance
AI in the pharmaceutical industry: use cases, risks and regulation
Real AI use cases in the pharmaceutical industry: vision, batch records, deviations, sterile utilities, and the GMP, Annex 11 and 21 CFR Part 11 framework.
The field toolbox
- Corrosion ratemm/yr
- MTBF · MTTR · uptimereliability
- Thickness logtrend
- Inspection intervaldue date
- Report templateCMMS
- Unit convertermm · psi
- Lost hoursROI
No account, everything runs in the browser.
Open the tools
Software and data
Industrial AI: What It Really Is, and What It Changes on the Plant Floor
Industrial AI without the jargon: use cases by function and by sector, limits, costs, financing and a roadmap to get started in your plant.
Skills and transformation
Freelance industrial AI consultant: how to choose the best
How to choose the best freelance industrial AI consultant: the profiles compared, the criteria that matter, and how to spot the one who ships a tool.
Quality and compliance
Preparing for a quality audit without losing two weeks: the role of AI
Gathering evidence for a quality audit takes days. How AI assembles the dossier by semantic search, without carrying the responsibility in your place.
Quality and compliance
Why the same nonconformities keep coming back, and what AI changes
Why the same nonconformities keep coming back despite 8D and CAPA, and how AI surfaces the recurrences that case-by-case handling never sees.
AI and maintenance
AI data leaks: the risk comes from your people and your contractors
Data leaks through AI do not come from the AI itself but from the people and third parties who use it: shadow AI, contractors and what the AI Act now requires.
AI and maintenance
Why responsible industrial AI is local, bespoke and off the cloud
Responsible AI in industry is not a label but an architecture: protecting sensitive data calls for bespoke, on-premise tools that stay off the cloud.
AI and maintenance
Local AI off the cloud: deploying an LLM or LMM on site
Why deploy AI on-premise rather than in the cloud: what an LLM or LMM does on an industrial site, the tasks it automates and the real constraints.
Industrial inspection
Preparing for a technical or regulatory audit: arrive with a history, not a pile of PDFs
Approach a technical or regulatory audit without losing two days: what the auditor really looks for, and how to keep a history that answers on its own.
Software and data
OCR or AI for reading your technical documents: three things people confuse before they buy
OCR, extraction, AI: three notions people confuse before buying. What each one really does to a technical report, and which one costs you.
Asset integrity
Turning a PDF Inspection Report Into Data: What Works, What Resists
What you can genuinely extract from a PDF inspection report, what resists, and how to judge a tool's accuracy before you buy it.
Asset integrity
Centralising a Plant's Inspection and Testing Reports
Why inspection reports stay scattered across contractors and inboxes, and how to bring them together without imposing yet another procedure on anyone.
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