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.

With $108 million in investor funding led by SoftBank, Petuum is one of the highest-funded AI and Machine Learning startups. 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?

/pe-tu̇-ˌu̇m/

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.

Team

Petuum's veteran product and marketing leaders are backed by our strong R&D team. With our technical strength, we solve problems at the forefront of machine learning, distributed systems, and human-computer interaction.

Leadership

Eric Xing, Ph.D

FounderCEO, and Chief Scientist

BIO

Eric P. Xing is the Founder, CEO, 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

Co-FounderChief Technology Officer

BIO

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.

Saranyan Vigraham

VP, Engineering

BIO

Saranyan Vigraham is Vice President of Engineering at Petuum. Previously, he was a VP of Engineering at Elementum, where he led their enterprise SaaS platform team that digitized the supply chain for Fortune 500 companies like Starbucks and Johnson & Johnson. Prior to Elementum, he was the Head of Software Engineering at Meta, delivering the industry’s first Augmented Reality platform with natural gesture controls.

Saranyan has also held engineering leadership roles at PayPal, Bigcommerce and Qualcomm, bringing with him a diverse engineering experience of shipping enterprise and consumer products across web, mobile and wearable platforms with millions of users.

Saranyan holds a Ph.D in Computer Science with a focus in Machine Learning.

Hitesh Dholakia

VP, Product

BIO

Hitesh Dholakia is the Vice President of Product at Petuum. Hitesh joined Petuum from Blackwood Seven, an AI marketing platform company. There he was their Chief Product Officer and led the team that built Hamilton AI, the world’s first in-silicon data scientist. Hitesh also worked on building successful Machine Learning and Data Science products for several companies including Sysomos, eBay, and Yahoo.

Hitesh earned his BS in Computer Science, followed by an MS in Artificial Intelligence from the Indian Institute of Technology, Madras.

Advisors

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

Amr Ahmed

Research Scientist, Google

Ross Curtis

Software Engineer, AncestryDNA

Jacob Eisenstein

Assistant Professor, Georgia Institute of Technology

Wenjie Fu

Software Engineer, Facebook

Anuj Goyal

Software Engineer, LinkedIn

Steve Hanneke

Visiting Assistant Professor, Carnegie Mellon University

Kamisetty Hetunandan

Research Scientist, Facebook

Judie Howrylak

Assistant Professor, Penn State University

Gunhee Kim

Assistant Professor, Seoul National University

Abhimanu Kumar

Senior Research Engineer, LinkedIn

Seyoung Kim

Assistant Professor, Carnegie Mellon University

Mladen Kolar

Assistant Professor, University of Chicago

Seunghak Lee

Research Scientist, Human Longevity Inc.

Andre Martins

Research Scientist, Priberam Labs and Instituto Superior Técnico

Ankur Parikh

Research Scientist, Google

Kriti Puniyani

Research Scientist, Google

Pradipta Ray

Research Scientist, University of Texas at Dallas

Suyash Shringarpure

Postdoctoral Researcher, Stanford University

Kyung-Ah Sohn

Assistant Professor, Ajou University

Le Song

Assistant Professor, Georgia Institute of Technology

Chong Wang

Research Scientist, Microsoft Research

Sinead Williamson

Assistant Professor, University of Texas at Austin

Andrew Wilson

Assistant Professor, Cornell University

Junming Yin

Assistant Professor, University of Arizona

Yaoliang Yu

Assistant Professor, University of Waterloo

Bing Zhao

Research Scientist, SRI

Jun Zhu

Associate Professor, Tsinghua University