First-generation cloud-scalable economic intelligence.

Petabyte Economics Corp. is a private R&D lab based in Stowe, Vermont. We create new science and innovative technologies that unleash the power of big data, economic models for clients in industry and government.

Product Announcement
Introducing...
Meaningful demand forecasts at any grain.
CatFish is a Bayesian Intelligence forecasting system. It provides location-specific, consistently aggregatable and disaggregable, full joint distribution demand inference with human interpretable factors.

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Lead Economists
Dr. Ed Egan
Dr. Ed Egan
Dr. Egan is a serial entrepreneur and venture capitalist turned academic. He is a leading expert in AI and economics-based research computing and big data information systems design. Dr. Egan received his Ph.D. in business economics from the Haas School, U.C. Berkeley, in 2012. He subsequently held positions at the NBER, Imperial College London, Rice, and Georgetown universities.
Prof. John Geweke
Prof. John Geweke
Prof. Geweke is an internationally renowned Bayesian theorist and big data econometrician. He received his Ph.D. in economics from the University of Minnesota in 1975. Prof. Geweke is the author of over 100 papers in international refereed journals; the former editor of the top five journals in econometrics and applied statistics; and a past president of the International Society for Bayesian Analysis.
Prof. Garland Durham
Prof. Garland Durham
Prof. Durham an expert in Bayesian modeling, forecasting, and simulation using GPUs for massively parallel computation. He recieved his Ph.D. in economics from the University of North Carolina in 2001 and is a professor of finance at California Polytechnic State University. His research has been published in leading journals, including the Journals of Financial Economics and Econometrics.

News Spotlight
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We are seeking Letters of Support from potential clients, commercial collaborators, and strategic partners for “Newsvendor,” the world’s first optimal inventory placement system grounded in decision theory. The National Science Foundation has invited us to apply for non-dilutive funding from its SBIR program to complete Newsvendor’s Phase I research and development.