Founded Year



Series B | Alive

Total Raised


Last Raised

$93M | 5 yrs ago

About Petuum

Petuum is a software infrastructure and ecosystem provider that enables AI for enterprise. Petuum's operating system gives users a single platform to build any Machine Learning or Deep Learning application using large amounts of data, and deploy it at scale on any hardware – such as workstations, datacenters, the internet of things, and edge computing.

Petuum Headquarter Location

2555 Smallman Street Suite 120

Pittsburgh, Pennsylvania, 15222,

United States


ESPs containing Petuum

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Emerging Tech / Artificial Intelligence

Well-labeled training data is the foundation of AI projects, such as teaching an autonomous car to identify pedestrians and traffic signs or a diagnostic system to differentiate between normal and anomalous medical scans. Companies in this space are streamlining a traditionally human-intensive workflow with AI-assisted labeling platforms.

Petuum named as Challenger among 14 other companies, including Sama, V7, and Scale AI.

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Petuum's Products & Differentiation

See Petuum's products and how their products differentiate from alternatives and competitors

  • Platform




Expert Collections containing Petuum

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Petuum is included in 3 Expert Collections, including AI 100.


AI 100

99 items


Game Changers 2018

70 items


Artificial Intelligence

9,093 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

Petuum Patents

Petuum has filed 28 patents.

The 3 most popular patent topics include:

  • Artificial neural networks
  • Machine learning
  • Artificial intelligence
patents chart

Application Date

Grant Date


Related Topics




Data management, Software design patterns, Artificial intelligence, SCSI, Parallel computing


Application Date


Grant Date



Related Topics

Data management, Software design patterns, Artificial intelligence, SCSI, Parallel computing



Latest Petuum News

Gem-Miner: Finding Lottery Tickets at Initialization and Bettering All Baselines at 19x Faster Speeds

Jun 8, 2022

In the new paper Rare Gems: Finding Lottery Tickets at Initialization, a research team from Carnegie Mellon University, MBZUAI, Petuum, Inc and the University of Wisconsin-Madison proposes GEM-MINER, an algorithm that finds sparse subnetworks at initialization trainable to accuracy that is comparable or better than iterative magnitude pruning (IMP) with warm-up. The post Gem-Miner: Finding Lottery Tickets at Initialization and Bettering All Baselines at 19x Faster Speeds first appeared on Synced.

Petuum Web Traffic

Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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Petuum Rank

  • When was Petuum founded?

    Petuum was founded in 2016.

  • Where is Petuum's headquarters?

    Petuum's headquarters is located at 2555 Smallman Street, Pittsburgh.

  • What is Petuum's latest funding round?

    Petuum's latest funding round is Series B.

  • How much did Petuum raise?

    Petuum raised a total of $108M.

  • Who are the investors of Petuum?

    Investors of Petuum include Advantech Capital, SoftBank Group, Northern Light Venture Capital, Tencent Holdings and Oriza Ventures.

  • Who are Petuum's competitors?

    Competitors of Petuum include Databricks, Mindflow Technolgy,,, Labelbox, CrowdWorks, Sama, SuperAnnotate, Snorkel AI, Super.AI and 14 more.

  • What products does Petuum offer?

    Petuum's products include Platform.

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Hasty is a tool that makes it easy, fast and accurate to teach machines the context of what they are looking at. The company automates over 70% of the work needed to train an AI and makes it easier and quicker to both create and review annotations. By combining an easy-to-use application with deep learning, Hasty can speed up the process of annotation with up to 10x while increasing the quality of the data being produced.

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