Browse Articles by Author

Adrien Laurent

CEO at IntuitionLabs

I'm Adrien Laurent, CEO of IntuitionLabs, an AI software company focused on life sciences. I'm an experienced entrepreneur with a track record of founding and successfully exiting companies, including Modulis, which I ran for 14 years before its acquisition by ClearlyIP in 2019. Most of the content on this website is created with the assistance of Large Language Models (LLMs). I believe in complete transparency about this process because readers deserve to know how the information they're consuming is produced. Each article begins with a topic I'm curious about or want to explore more deeply in the pharmaceutical software space. I've built a sophisticated workflow using Temporal.io that orchestrates background research, link enrichment, image generation, and metadata creation. This process leverages multiple AI models from OpenAI, Anthropic, and Google Gemini to ensure comprehensive, well-researched content. While AI handles the heavy lifting of research and initial drafting, I provide the editorial direction, quality control, and ensure all content meets accuracy standards. This hybrid approach allows me to cover more topics in greater depth while maintaining transparency about the role of AI in content creation. Based in Mountain View, California, I'm passionate about the intersection of AI and life sciences, and I believe in using technology to make complex information more accessible while maintaining complete transparency about how that technology is used.

Ame Harpe

Founder, Sakara Digital

Ame Harpe is the Founder of Sakara Digital, a consultancy focused on helping pharmaceutical and life sciences organizations build robust data foundations for AI success. With deep expertise in data quality, governance, and regulatory compliance, Ame works with industry leaders to transform their data culture and unlock the full potential of artificial intelligence. Sakara Digital partners with organizations to assess data maturity, implement governance frameworks, and foster the cultural behaviors that sustain data integrity. Ame's approach emphasizes that AI success depends not just on technology, but on the people and processes that ensure data is trustworthy, traceable, and fit for purpose.