Accelerating the transition of university innovations to commercial success through AI-driven discovery and intelligent collaboration matching.
Our AI interrogates all available literature to identify and prioritize the perfect collaboration opportunities for your scientific interests.
Enter your scientific problem or area of interest through our secure client interface.
Our LLMs retrieve and analyze patent, clinical trial, and scientific literature.
Assess activity, originality, and validation levels across all relevant research.
Receive a curated list of candidate collaborators ranked by journal impact factor.
Discovery Hub aggregates and analyzes multiple literature databases to provide complete market intelligence.
USPTO and global patent databases for IP landscape analysis
Peer-reviewed journals curated by impact factor
FDA and clinical trial registry data for validation signals
Industry news, evaluations, and competitive analysis
Interviewed 115 potential clients to validate enthusiasm and market opportunity in the life sciences sector.
~3,000 companies globally
~700 US companies
~70 companies
What we learned from extensive customer discovery across the life sciences ecosystem.
"Principal Investigators are not naturally collaborative — many don't understand the realities of commercialization, timelines, or resource constraints." — Sarah Dolman, Partner at Recon Strategy
"On the biosimilar side, our odds of finding partners is pretty good... On the innovative side, it's a much, much tougher ballgame." — Bert Thomas, SVP Business Development at Bio-Thera Solutions
"For my particular size of business, which tends to be under 20 employees… there is no funding for BD tools." — Megan Livingston, President at Growth Strategy Bio LLC
"Our toolchain is not something that we change very regularly… We need to work with global partners, so you need relative stability." — Alexander Weir, BD Manager at Canon Medical Research Europe
Our strategic roadmap to revolutionize technology transfer in life sciences and beyond.
A diverse team combining entrepreneurial drive, technical expertise, and deep industry knowledge.
B.S. Biology & M.S. Data Science from Drew University. Experience in ML, data analytics, and customer discovery leadership.
Faculty and Director of Data Science at Drew University. Technical expert in AI and data science directing solution design.
Fellow at Drew University RISE. Expert in drug discovery and biochemistry advising on commercialization strategy.
B.S. Computer Science from Drew University. IT Manager at DeviceBytes, Madison, NJ.
Join the future of technology transfer. Get early access to Discovery Hub and transform how you identify collaboration opportunities.
Get Early Access Watch our pitch video