"Help self-directed investors make better decisions in a complex economy"
We believe humanity is finally at the right intersection of economic models, understanding of complex systems, machine learning, data, and access to venture capital to build this properly.
We're using 10,000s of time series from public health and stock market movements, to macroeconomics and geopolitical risk to make 12 month forecasts for policy makers, multinational corporations, and actors within the financial sector.
Backed by an expert team in finance, ML/AI, economic modeling, and company-building.
Alexander is an experienced tech entrepreneur, CEO, board member, and advisor, having founded multiple successful companies and organizations. His work has seen him produce multiple AI-driven products, scale sales globally, hire world-class executives, manage hundreds of employees, and raise over $25M in venture capital. He is focused on hard problems that have a meaningful impact on the world, knowing that very few others are in a unique position to take on such challenges.
Reid is an experienced investor with deep expertise in building quantitative financial models. Previously, he led systems development and portfolio oversight for True Signal, a New York City hedge fund based around extracting fundamental insight from non-traditional datasets. Prior to that, Reid spent 5 years with Bridgewater Associates, a firm widely known for its best-in-class macroeconomic insight and investing. He has academic credentials in Economics and Computer Science from Dartmouth College, and holds an MBA from the London Business School.
Madhavan has served in leadership positions in the public and private sector, including 8+ years in various software engineering executive positions at Bridgewater Associates. He additionally served as VP of Engineering and Product at Domino Data Labs, a leading enterprise ML ops company, and served as head of product and engineering for the eGovernments Foundation, whose mission is to shepherd the digital transformation of Indian Society. He currently sits on the Board of Directors of ClimateXChange, a climate policy non-profit.
Prof. Makridakis is a distinguished academic and a top expert in forecasting. He is a Professor at the University of Nicosia, director of the Institute For the Future (IFF) and the founder of the Makridakis Open Forecasting Center (MOFC). He is an Emeritus Professor at INSEAD and the University of Piraeus and has been awarded an Honorary Doctorate by International Hellenic University. He has authored, or co-authored, twenty-eight books and more than 270 articles.
Dr. Varshney is a celebrated leader in the application of AI models to complex and scaled systems. She earned a PhD in comparative oncology and genomics, she holds numerous publications, patents, and has led academic & commercial research at the intersection of predictive modeling and Machine Learning. She has served as Founder and CEO of a VeriSIM, a computational pharmacology company, has led M&A initiatives, and currently serves as Bay Area network leader for Village Global.
Charles has 20+ years of experience helping startups and Fortune 500 companies leverage data and analytics to drive insights and improve decision making. Most recently, he was a COO at the hedge funds Point72 and Bridgewater Associates. Previously at IBM, he worked with the largest financial institutions around data, analytics, and technology. Additionally, Charles has helped numerous companies navigate the 0 to 1 startup journey as an operating executive, an advisor, a board member, and an investor.
Loek’s expertise sits at the intersection of data and fintech, and has successfully brought fintech products to the global market as the founder and CTO of Nova Credit, a private company with over $70m in venture financing. Loek holds an MSc in Computational Mathematics and Engineering from Stanford and has studied econometrics and Quantitative Economics at the London School of Economics.
Ash is an expert in scaling data infrastructure and products. He was one of the first engineers at Yahoo! and scaled the company’s infrastructure and products to handle hundreds of millions of users and their data, including building out Yahoo! Finance. Most recently, he served as the company’s Chief Product Officer and EVP of Product Architecture and Strategy. He has served as an investor and advisor to dozens of tech companies.
to avoid knowledge silos
focused on accuracy
to allow for systemic scale
of the global economy