Building on a foundation of economics and marketing science from leading business schools. We built an A.I. model of consumer durable purchasing behavior. This enabled us to optimize marketing spend and pricing, considering supply chain constraints. Users were able to then plan the marketing, promotion and pricing spend to demand plan as part of their supply chain organization. Facilitating a collaboration between typically disconnection marketing, sales, and supply chain teams.
With a basis in scientific literature, we built a predictive model of battery electrochemistry. Using this A.I. our customers were able to analyze potential battery formulations and compositions to select for desired traits. Building on these learnings, we could simulate the viability of new hypothetical battery formulations in-silico.
Based on scientific literate, we built BODYSIM, an A.I. enabled consumer iOS app that learns per user metabolic, endocrine, and muscular system response to nutrition and training. This digital twin enabled users to gain muscle and shed fat with prescriptive workouts and nutrition. BODYSIM combined sensor fusion with metabolism and physiology science to decode the hidden drivers of the body's past performance and future peak potential.
Ryan has galvanized teams with bold vision and disruptive, patented innovations since 2003. Ryan transformed distributed analytics across an academic lab, his first bootstrap startup and computational biology and cloud teams at Monsanto. He grew VC-backed CiBO from 7 to 70 engineers and data scientists. Ryan holds an MBA and BA prob/stats from Olin and WashU.
Joe has spent 15 years building foundational platforms, from middleware at AT&T, to startups across FPGA-accelerated high-frequency trading, accelerated ETL, machine learning based network security (acquired by Cisco) and hybrid AI/physical models of global-scale crop simulation. Joe holds a BS in Applied Math and a PhD in Computer Science from WashU.
Chronically the first customer-facing engineer, Chris has delighted customers with deep-data applications from corn germplasm catalogs to global satellite data and environment simulations. Marshalling his broad expertise from cloud architecture to data visualization, Chris delivers outcomes customers love and leads solutions teams to productize them.
David Worn is an educator, entrepreneur and investor. Most recently, David served as President and CEO of CiBO Technologies and as a Director at Palantir Technologies where he helped build one of the world’s most valuable private software firms. Prior to joining Palantir, he was an analyst with the Department of Defense and an engineer with the MITRE Corporation. David earned his BA in Asian Studies from Cornell University and his MA in Security Studies from Georgetown University. He was a Term Member of the Council on Foreign Relations and has lectured as an adjunct professor in the School of Foreign Service at Georgetown University.David splits time between Boston, MA and Charlottesville, VA with his wife Carrie and their two sons.
Originally an engineer and later program manager for missile guidance systems at Hughes Aircraft Company, Anne Marie became a professor of business and revolutionized our understanding of innovation. She invented the first and only predictive measure of firms’ R&D productivity. After earning a masters and PhD from UCLA, Anne Marie’s work has been consistently published in top academic journals. She now holds the Robert and Barbara Frick endowed professorship at Olin Business School, Washington University in St. Louis. Her research focuses on innovation in the large and small—including both entrepreneurship and enterprise R&D. Anne Marie has published numerous Harvard Business Review articles, as well as books on both topics: Venture Design (entrepreneurship) and How Innovation Really Works (enterprise R&D). Using a rare combination of well principled theory and real world empirics, Anne Marie has shattered conventional views of R&D and replaced them with proven theories that beat the S&P by 10 fold, can add $1 trillion of value back into the US economy, and most importantly have the potential to restore economic growth to its mid-century level.