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Bryan Davis

@b-g-d

Bryan Davis is an entrepreneur, AI engineer, and data science leader dedicated to developing scalable technology with significant social impact. He currently serves as the CEO of BeneDoc.

https://www.linkedin.com/in/bryangilbertdavis/
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About Me

Bryan Davis is a technology executive and product leader specializing in the application of Machine Learning and AI to complex, document-intensive workflows, particularly in the legal and health industries. His work is consistently driven by a mission to use data infrastructure and artificial intelligence to solve challenges with high societal impact. Most recently, Bryan is leading the development of BeneDoc, an open-source platform designed to democratize access to the FDA submission process by transforming complex regulatory requirements into modular, machine-readable software. This initiative aims to accelerate market entry for life-saving medical innovations by small companies and research teams.

As a founder, Bryan brings deep technical expertise in building production-ready AI systems. He was the Cofounder and CTO of the venture-backed legaltech company Centari, where he successfully led the effort to raise $3.3 million in funding. He engineered Centari's core intellectual property: a high-fidelity, multi-stage data extraction pipeline that delivered accurate and verifiable data from complex legal contracts. His expertise in practical, high-stakes AI applications also includes designing a real-time AI documentation agent for surgical workflows that converted voice dictations into structured, billable Operative Notes, eliminating significant billing delays for Ambulatory Surgery Centers.

Prior to his entrepreneurial endeavors, Bryan held leadership roles at major tech companies, including managing the Business Solutions AI team at Nextdoor through its IPO, and implementing data-driven optimizations for ad systems at Meta that contributed to hundreds of millions of dollars in revenue. He is a passionate mentor and educator, having designed and led technical learning groups at Indeed and Nextdoor, and volunteered as an instructor for Data Science For All (DS4A), teaching skills to students from underrepresented backgrounds. He holds an M.S. in Statistics and Operations Research from the University of North Carolina at Chapel Hill.

Projects

OpenReg: AI tools for FDA application and reg compliance

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