case study
How Sanofi used AI across 13,000 manufacturing batches and estimated EUR 10 million in annual savings, plus broader pharma model lessons.
Pharma and Life Sciences
Domain-specific AI for research, regulated operations, knowledge systems, and life-sciences workflows.
Model behavior, evidence, privacy, and deployment controls are shaped around scientific and regulatory requirements.
Case studies
2 articles
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case study
How Moderna employees created 750 custom GPTs in 60 days, with high weekly activity and broad mChat adoption across biopharma work.
Blog posts
3 articles
article
The AI Model Stack for Pharma and Life Sciences
Conscious Engines
Explore AI for pharma and life sciences across discovery, clinical development, regulatory, safety, manufacturing and medical operations.
article
From Protocol to Submission: Building the Regulatory Knowledge Layer
Conscious Engines
A technical guide to regulatory RAG for pharma protocols, authority questions, commitments, labels and submission evidence.
article
How pharmacovigilance AI combines speech, case detection, event extraction, duplicate matching, RAG and human medical review.