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Erudio Bio

Erudio powers AI drug discovery with ground-truth binding data.
Our Versatile Smart Assay (VSA) converts molecular interactions into kinetics-resolved “stickiness” labels (force curves, on/off characteristics) at scale. These labels train and validate AI models so they rank true binders and filter look-alikes early.


With bioTCAD, our data + software layer, teams cut wet-lab cycles and de-risk candidates before expensive assays.


(Multiplex is how we scale: VSA reads 50–100 interactions from ~10 µL in a single run.)

News

News

Erudio Bio Receives Grant  to Advance bioTCAD™ for global health

August 30, 2025 — Erudio Bio today announced a grant from the Gates Foundation to support bioTCAD™, an AI platform that pairs advanced modeling with Erudio’s multiplex force-spectroscopy binding measurements. The project aims to make preclinical drug design more reliable and faster—ultimately lowering the cost of developing medicines for diseases that disproportionately affect people in low- and middle-income countries.

“AI needs trustworthy experimental labels to predict what actually works,” said Kee-Hyun Paik, PhD, Erudio’s co-founder and CEO. “With the foundation’s funding support, we’ll scale bioTCAD to generate high-quality binding data and put it to work on high-burden diseases.”

About Erudio Bio
Erudio Bio is building the measurement and software stack for binding-aware AI in drug discovery. Its benchtop reader and chip convert force-of-binding curves into machine-ready features that help researchers prioritize candidates earlier and more accurately. Learn more at erudio.bio.

Link to Gates Foundation Erudio Bio Grant 

Alexa Young, CA

Our Services

Our Technology

Our innovative patented technology addresses critical limitations in current multiplexed assay methods, and provides comprehensive binding data that opens new possibilities in disease detection and drug development.

Powering AI drug discovery

Erudio provides the missing ingredient for AI-powered drug discovery: ground-truth binding labels that capture both strength and kinetics. Our datasets let models separate true binders from look-alikes and activity cliffs, improving hit ranking, calibration, and go/no-go decisions across the pipeline.

Comprehensive Data with Force Spectroscopy

Our patented dynamic force spectroscopy reads the energy needed to pull molecules apart, revealing on/off rates, unbinding forces, and specificity. By measuring kinetics—not just presence—we filter out cross-reactivity and non-specific binding, enabling accurate, comprehensive multiplexed assays in complex samples.

Scalable Data Generation

VSA reads 50–100 interactions per run from just ~10 µL samples, enabling rapid build-out of task-specific panels across cytokines, antibodies, and glycans. That scale turns individual force curves into production-grade datasets—fuel for both early discovery and downstream validation.

Our Team

Meet the Team

Meet the brilliant minds driving innovation at Erudio Bio, Inc. Our diverse team of scientists, researchers, and visionaries is dedicated to revolutionizing the biotech industry.

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Co-Founder & CEO

Kee-Hyun Paik​

Kee-Hyun Paik is the Co-Founder and CEO of Erudio Bio, Inc. a pioneering biotech company in the San Francisco Bay Area. With over two decades of experience in biotechnology, Kee-Hyun's background includes co-founding Multerra Bio, Inc., postdoctoral research at Stanford University School of Medicine, and sr. engineering roles at Samsung Electronics and ISE Inc. He holds a Ph.D. and M.S. in Electrical and Electronics Engineering from Stanford University and a B.S. from Duke University.
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Co-Founder & CTO

Sunghee Yun

Sunghee Yun is the Co-Founder and CTO of Erudio Bio, Inc., where he leads AI and technology development. With over two decades of experience in AI and Convex Optimization, Sunghee's background includes co-founding SK Group spin-off Gauss Labs as Global R&D Head, leading AI projects at Amazon that generated over $200 million in revenue, and developing AI tools at Samsung Semiconductor. He holds a Ph.D. and M.S. in Electrical Engineering from Stanford University and a B.S. from Seoul National University.

Advisory Board

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Ronald W. Davis

Prof. Biochemistry and Genetics, Director Stanford Genome Tech Center
$15B+ exits

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William J. Greenleaf

 

Prof. Genetics and Applied Physics, Stanford University

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Karyn Eliot

Retired CIA Sr. Executive

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Michael Cola

CEO AEVI Genomic Medicine, President of Shire plc. ($62B sale to Takeda)

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Tim Germann

CCO Chief Commercial Officer Carterra Bio

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Michael P. Snyder


Professor and Chair of Genetics, Stanford University · Co-founder of Personalis and January AI

Contact Us

Email. info@erudio.bio

400 Professional Center Drive, Suite 414, Novato, CA 94947

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