Fast Prototype, Hard Reality: Agentic Engineering that Delivers

How do you turn an AI-built prototype into software that actually delivers in the real world? In this recorded webinar, Stephen Larson, CEO of MetaCell, explores what it takes to move from fast AI-assisted prototypes to secure, production-ready R&D software in life sciences. AI is making it easier than ever to build internal tools quickly. But the hard part starts after the prototype. Can other teams trust it, validate it, support it, and build on it? Will scientists actually adopt it? Were the right architecture, infrastructure, and data decisions made early enough to avoid expensive fixes later? This session looks at the gap between fast AI development and durable, enterprise-grade software, especially in regulated and high-stakes environments. 🔎 In this webinar, you'll learn: – where AI is already helping life science teams move faster – why architecture, infrastructure, and data decisions matter early – why scientific UX is essential for trust and adoption – what it takes to move from prototype to production – why expert involvement matters in environments shaped by HIPAA, GDPR, medical-device, and cybersecurity constraints 🎯 Who this is for: Life science leaders, R&D teams, scientific software teams, product and engineering teams, research informatics, digital leaders, and anyone thinking seriously about how to use AI to build software that creates lasting value. 👤 Speaker: Stephen Larson is co-founder and CEO of MetaCell. He works at the intersection of computer technology and biological systems, with a focus on how software can help researchers better understand life. He also serves as Project Director of the OpenWorm Foundation and curates The Electric Sheep Report, a newsletter on AI and life sciences. Stephen previously served as CIO at One Mind for Research and holds degrees in Computer Science from MIT and a PhD in Neuroscience from UC San Diego. 🚀 About MetaCell: MetaCell is a life science strategic technology partner helping pharmaceutical, medtech, and advanced R&D teams turn complex scientific workflows into secure, usable, production-ready software. Our work spans scientific UX, enterprise-grade software development, cloud infrastructure, testing, hosting, cybersecurity-minded delivery, and long-term support. Subscribe for more content on AI in life sciences, scientific software, R&D platforms, and digital transformation. #AI #LifeSciences #ScientificSoftware