In this episode, we interview Marc Bellemarre, who discusses his work on developing AI software for the pharmaceutical industry. They focus on 'commercial pharma,' which involves everything beyond molecule search and testing, such as marketing and clinical landscape analysis. Marc's software uses AI to expedite the literature review process, reducing a traditionally 400-hour task to half an hour. The software aims for high accuracy by structuring scientific data and helping analysts and researchers make informed decisions. Marc explains the intricacies of integrating AI with user-friendly software interfaces and ensuring transparency in data validation. He also shares his motivations for leaving a secure job at Google to create a startup and highlights the potential of AI to eliminate bureaucratic inefficiencies. The conversation touches on the challenges of combining traditional software engineering with AI research and the importance of founder-led sales for startups. Marc concludes by discussing the future ambitions for his company and the vital role of building robust AI ecosystems.