We’ve Cleared the AI Hurdles So You Don’t Have To.
Today’s artificial intelligence solutions tend to be specialized in specific applications and functions, and rely on maintenance by a select few developers. They are talent-intensive, expensive, difficult to reproduce, and overall unsustainable. As a result, AI currently remains inaccessible to most organizations.
We provide an AI software platform that allows enterprises to design, build, experiment, customize, operate and own vertical AI solutions in a wide range of industries and areas, such as healthcare, industrial manufacturing and utilities, financial services, telecommunications, autonomous driving, and beyond. Petuum lets enterprises easily understand and leverage AI to gain deep insight for better decision-making and improved productivity and efficiency.
Petuum was founded by scientists and professors from Carnegie Mellon University, including Dr. Eric Xing, who is ranked the top CS/AI researcher in the world. Our mission is to enable organizations to own, build and become informed users of their AI solutions, without relying on expensive talent. We do this by transforming AI into an industrial technology, complete with standardized processes, software design tools, building blocks for data processing and ML, and customizable reference designs that allow AI solutions to be consistently mass-produced, with low total cost, support for small to very large data sizes, and high task accuracy. These software technologies are supported by Petuum’s training programs for AI engineering, which are aimed at teaching industrial subject matter experts and business analysts to become AI builders and informed users. In this way, Petuum is enabling the eventual integration of AI into the foundation of every industry.
Petuum was named a 2018 Technology Pioneer by the World Economic Forum, one of only 61 start-ups in the world to be so honored.
How do you pronounce Petuum?
Where does the name "Petuum" come from?
It’s an abbreviation for perpetuum mobile, a concept from classical music.
Find out more about why this concept inspires us here.
Alex Liang currently serves as a Partner at Oriza Ventures. Prior to joining Oriza, Alex was a Venture Partner at SAIF Partners, heading US investment activities. He also founded & served as CEO of PICA, one of the earliest mobile Internet messaging companies in China. Additionally, he has served as VP of Asia Netcom, heading strategies for its pan-Asia data network services, as well as VP of 21vianet, China’s leading Internet Data Center company.
Mark serves as a Strategic Advisor to venture-backed, emerging tech companies with 20+ years of CRO/CEO experience. He is a commercial leader with a proven record of building category-defining emerging tech and B2B SaaS companies. He's designed & executed go-to-market strategies, built & managed multi-disciplinary operational teams, and helped raise multiple rounds of venture funding. He holds a B.S. in Applied Economics from University of Massachusetts and M.B.A. from Babson College.
Rong Yan, Ph.D
Rong is currently the CTO for Verishop Inc, an e-commerce platform that combines quality curation and discovery with the convenience you’ve come to expect. He was the Senior Engineering Director of Product Engineering in Snap Inc. His team is responsible for developing and maintaining the core product features in Snapchat, which is one of the most popular mobile applications in the world. Before joining Snap, he was the Director of Data Science and Infrastructure in Square Inc. from 2013 to 2014, an engineering manager for the Ads Relevance & Quality team in Facebook from 2009 to 2013, responsible for optimizing delivery performance for all Facebook ad products, and a Research Staff Member in the IBM T. J. Watson Research Center from 2006 to 2009. Dr. Yan received his M.Sc. (2004) and Ph.D. (2006) degree from Carnegie Mellon University's School of Computer Science.
Eric Xing, Ph.D
Eric P. Xing is the Founder, Executive Chairman, and Chief Scientist of Petuum Inc., and a Professor of Computer Science at Carnegie Mellon University. He completed his undergraduate study at Tsinghua University, and holds a PhD in Molecular Biology and Biochemistry from the State University of New Jersey, and a PhD in Computer Science from the University of California, Berkeley. His main research interests are the development of machine learning and statistical methodology, and large-scale computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems. Prof. Xing currently serves or has served the following roles: associate editor of the Journal of the American Statistical Association (JASA), Annals of Applied Statistics (AOAS), IEEE Journal of Pattern Analysis and Machine Intelligence (PAMI) and the PLoS Journal of Computational Biology; action editor of the Machine Learning Journal (MLJ) and Journal of Machine Learning Research (JMLR); member of the United States Department of Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) advisory group. He is a recipient of the National Science Foundation (NSF) Career Award, the Alfred P. Sloan Research Fellowship in Computer Science, the United States Air Force Office of Scientific Research Young Investigator Award, the IBM Open Collaborative Research Faculty Award, as well as several best paper awards. Prof Xing is a board member of the International Machine Learning Society; he has served as the Program Chair (2014) and General Chair (2019) of the International Conference of Machine Learning (ICML); he is also the Associate Department Head of the Machine Learning Department, founding director of the Center for Machine Learning and Health at Carnegie Mellon University; he is a Fellow of the Association of Advancement of Artificial Intelligence (AAAI), and an IEEE Fellow.
According to csrankings.org, Professor Xing currently ranks as the #1 computer science (CS) professor worldwide, whose papers (in the most selective CS conferences of all disciplines) collectively have the highest (weighted) acceptance among all computer scientists in the US and global universities during 2008-2018.
Qirong Ho, Ph.D
Qirong Ho holds a Ph.D from Carnegie Mellon University. Dr. Ho is a Co-Founder and Co-Head of the original Petuum distributed machine learning operating system research team based at Carnegie Mellon University, and has provided key Artificial Intelligence and Machine Learning infrastructure solutions to technology, banking and telecommunications companies. Dr. Ho was a Principal Investigator at the Institute for Infocomm Research, A*STAR, Singapore, and is an Adjunct Assistant Professor at the Singapore Management University School of Information Systems.
A recipient of the Singapore Agency for Science, Technology and Research PhD fellowship and the SIGKDD Doctoral Dissertation award, Dr Ho's innovative research on distributed software systems delivers a new approach to running Artificial Intelligence and Machine Learning applications at Terabyte scales and beyond, up to hundreds of times faster than existing Big Data systems. He has published over 40 papers with over 1200 citations in the areas of distributed AI and ML systems, large-scale social network and social media analysis, latent space models, and Bayesian Nonparametrics.
Liz Yi is Co-founder and Chief Corporate Development Officer at Petuum. Liz has been serving various roles at Petuum for fundraising, finance, communication, operations, etc. She also oversees business and operations in China and Japan after the initial setup. Prior to Petuum, Liz was Vice President of Tsinghua Education Foundation N.A. in the Bay Area, where she led fundraising and grant activities within the organization. Liz worked for Hina Group, a then investment banking startup focusing on cross border transactions as Director of Business Development. She was also a Venture Partner of Shanghai Pudong Science and Technology Investment Co. Liz earned her BS in Material Science and Engineering from Tsinghua University.
Bin Zhao, Ph.D
Dr. Bin Zhao is Vice President of Machine Learning, at Petuum, where he leads a team of machine learning engineers and software engineers. Dr. Zhao has 14 years of R&D experience in machine learning. Zhao’s expertise covers large scale machine learning, computer vision, optimization, statistics, and data mining, with more than 20 publications in top ranked computer science journals and conference proceedings. He has a Ph.D. in machine learning from school of computer science at Carnegie Mellon University, Master of Science from Carnegie Mellon University, Master of Science and Bachelor of Science from Tsinghua University, the top ranked university in China. Zhao has served as Program Committee member and reviewer for top ranked computer science conferences and journals, such as IEEE PAMI, TKDE, DMKD, ICML, NIPS, ICCV, ECCV, CVPR, BMVC, etc.
Sean Chen is an engineering leader, software architect, and security expert with over 20+ years of experience. Prior to becoming an early member of Petuum, Sean held leadership and senior engineering positions in public companies such as Veritas Software (acquired by Symantec) and VMware, Inc. as well as startups such as Springpath (later acquired by Cisco). He holds an M.S. from University of Illinois at Urbana-Champaign’s College of Engineering and a B.S. from Tsinghua University.
Michael I. Jordan, Ph.D
Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics, UC Berkeley
Stephen P. Boyd, Ph.D
Samsung Professor in the School of Engineering and Professor of Electrical Engineering in the Information Systems Laboratory, Stanford University
Kai Li, Ph.D
Founder and Chief Scientist, Data Domain; Paul M. Wythes '55, P'86 and Marcia R. Wythes P'86 Professor in the Department of Computer Science, Princeton University
Harry Shum, Ph.D
Executive Vice President, Artificial Intelligence and Research Group, Microsoft
Petuum Global Network of AI Experts
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Visiting Assistant Professor, Carnegie Mellon University
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Assistant Professor, Penn State University
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Assistant Professor, Carnegie Mellon University
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Research Scientist, Google
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Associate Professor, Tsinghua University