Madita1

Basel, Switzerland – August 28, 2025 –
AI may dominate the headlines in 2025, but Life Sciences cybersecurity still hinges on four enduring priorities: Identity, Validation, Resilience, and Usability.

Basel, Switzerland – July 17, 2025 –
Federated governance is often the hardest part of implementing data mesh—especially in Life Sciences.
In this blog, we share how MIGx helps biopharma organisations navigate decentralisation, balance risk, and build compliant, scalable data strategies tailored to the realities of regulated environments.

Basel, Switzerland – July 16, 2025 –
In this whitepaper, we examine how genuine, data-centric transformation is key for Life Sciences and Biotech organizations to overcome digital complexity—unlocking scalable value from decades of siloed data and ensuring competitiveness in an AI-driven future.

Basel, Switzerland – July 2, 2025 –
How can federated governance work in biopharma?
Our latest blog explores key challenges and practical solutions for applying data mesh in the Life Sciences sector.

Basel, Switzerland – June 2, 2025 –
In this whitepaper, we explore how a risk-first approach enables Life Sciences organisations to overcome the POC bottleneck—shifting AI from isolated pilots to compliant, scalable deployment.

Basel, Switzerland – May 13, 2025 –
In this blog, we explore how to approach multilingual toxicity assessment at scale — balancing AI-driven efficiency with human oversight, contextual accuracy, and cultural sensitivity.

Basel, Switzerland – April 29, 2025 –
In this blog, we explore MIGx’s structured approach to AI agent validation, highlighting how clear scoping, comprehensive assessments, and regulatory-grade reporting lay the groundwork for the safe, compliant, and effective deployment of AI in regulated Life Sciences environments.

Basel, Switzerland – April 15, 2025 –
What does it take to test AI agents in highly regulated environments like pharma and biotech? We break down the core building blocks—metrics, benchmarks, and test data—that form the foundation of trustworthy evaluation.