Enterprise IT / AI

Machine Learning Platforms

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What is Machine Learning Platforms?

These companies aim to enable users to manage all aspects of the AI lifecycle — from data preparation training and validation to model deployment and continuous monitoring — from a single location in order to facilitate end-to-end model development. Serving as a one-stop shop for enterprises that want to launch AI projects, these vendors are acquiring smaller companies focused on different parts of the AI development process to capture a larger share of the market.

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Leaders

Leaders are the most established service providers in the market and possess the breadth to address various customer needs.

See why these companies made it as leaders for Machine Learning Platforms. These companies include H2O.ai and Dataiku.

H2O.ai logo
H2O.ai

United States / Founded Year: 2011

H2O.ai is an AI company that makes machine learning accessible to corporates and allows business users to extract key information from data, without needing prior knowledge in deploying or tuning machine learning model, with key deployments in financial services, insurance, healthcare, among other industries.

Key People

Sri Satish Ambati, Arno Candel, Read Maloney, and 1 more

Dataiku logo
Dataiku

United States / Founded Year: 2013

Dataiku is a centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

Key People

Florian Douetteau, Adam Towns, Clément Stenac, and 1 more

DataRobot logo
DataRobot

United States / Founded Year: 2012

DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of open-source machine learning algorithms, the DataRobot platform automates, trains, and evaluates predictive models in parallel, delivering more accurate predictions at scale.

Key People

Thomas Godoy, Jeremy Achin, Dan Wright, and 2 more

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4Paradigm

China / Founded Year: 2015

4Paradigm is a provider of artificial intelligence technology and services, helping financial firms to detect fraud, improve efficiency, reduce risk, and market to customers more effectively based on online habits.

Known Customers

People's Daily

Key People

Shiwei Hu, Ming Wu, Wenyuan Dai

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Databricks

United States / Founded Year: 2013

Databricks provides a data platform that aims to simplify data integration and offers data analytic services. Databricks was founded in 2013 and is based in San Francisco, California.

Known Customers

DataMetica, Walgreens, Tredence, and 2 more

Key People

Matei Zaharia, Reynold Xin, Ion Stoica, and 2 more

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Domino Data Lab

United States / Founded Year: 2013

Domino is a workbench that accelerates the entire analytical lifecycle, from early exploratory work all the way to deploying your models, allowing users to track and share work along the way. It works alongside the tools and languages already used, including R, Python, Julia and more.

Known Partners

Spectrum Worldwide Events (Singapore) PTE. LTD., NVIDIA, MathWorks

Key People

Matthew Granade, Nicholas Elprin, Dennis Sevilla, and 2 more

Highfliers

Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.

See why these companies made it as highfliers for Machine Learning Platforms. These companies include .

Outperformers

Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.

See why these companies made it as outperformers for Machine Learning Platforms. These companies include RapidMiner and Anaconda.

RapidMiner logo
RapidMiner

United States / Founded Year: 2007

RapidMiner, formerly Rapid-I, is redefining how business analysts use Big Data to predict the future. With an open source heritage, RapidMiner is one of today's most widely known and used predictive analytics platforms, providing powerful solutions for a wide variety of industries.

Known Partners

Braincube, Talend, Aylien, and 1 more

Known Customers

Tableau Software, InMoment, CRMT

Key People

Ingo Mierswa, Ralf Klinkenberg, Peter Lee, and 2 more

Anaconda logo
Anaconda

United States / Founded Year: 2012

Anaconda is a python data science platform and its flagship product, Anaconda Enterprise, allows organizations to secure, govern, scale, and extend Anaconda to deliver insights that drive businesses and industries forward.

Known Customers

Microsoft

Key People

Alexander Stojanovic, Kevin Goldsmith

Challengers

Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.

See why these companies made it as challengers for Machine Learning Platforms. These companies include iguazio and Chooch AI.

iguazio logo
iguazio

Israel / Founded Year: 2014

Iguazio enables users to develop, deploy and manage AI applications at scale, transforming AI projects into real-world business outcomes. Enterprises spanning a wide range of verticals, including financial services and telecoms, use Iguazio to create business impact through real-time use cases such as fraud prevention and auto-healing systems.

Key People

Yaron Haviv, Asaf Somekh, Yaron Segev, and 2 more

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Chooch AI

United States / Founded Year: 2015

Chooch AI develops computer vision training with machine learning for Visual AI. Chooch performs rapid facial recognition and object recognition in images and videos by matching data in its neural network perception library. The company has applications in the media, advertising, banking, security, and medical industries. The company was founded in 2015 and is based in San Francisco, California.

Key People

Emrah Gultekin, Michael Liou, Anubhav Saxena, and 2 more

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DarwinAI

Canada / Founded Year: 2017

DarwinAI has developed Generative Synthesis, an AI platform that works to help developers accelerate deep learning development by facilitating collaborative design and automated optimization.

Known Customers

Modzy, Audi

Key People

Alexander Wong, Mohammad Shafiee, Sheldon Fernandez, and 1 more

BasisAI logo
BasisAI

Singapore / Founded Year: 2018

BasisAI offers a platform that enables organizations to deploy models securely, track data provenance, monitor algorithmic integrity, and ensure AI explainability.On August 30, 2021, BasisAI was acquired by Aicadium. The terms of the transaction were not disclosed.

Known Customers

Nodeflux

Key People

Linus Lee, Feng Yuan Liu

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2021.AI

Denmark / Founded Year: 2016

2021.AI serves the growing need for applied AI across the globe. Its data science expertise in combination with its Grace AI platform offers a true AI differentiator for clients around the world. With Grace, data scientists can solve some of the most complex problems, or directly implement its pakcaged solutions related to churn predction, chat-bots, fraud detection, and much more.

Key People

Mikael Munck, Rasmus Hauch, Jon Christiansen

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Spell

United States

Spell is a comprehensive MLOps platform for deep learning. The company builds a platform to meet the needs of deep learning engineers, managers, and stakeholders for scalable development, deployment, and infrastructure in public, private, and hybrid clouds. It is based in New York.

Known Partners

Graphcore, Outland Denim

Key People

Serkan Piantino, Trey Lawrence

What is Machine Learning Platforms?

These companies aim to enable users to manage all aspects of the AI lifecycle — from data preparation training and validation to model deployment and continuous monitoring — from a single location in order to facilitate end-to-end model development. Serving as a one-stop shop for enterprises that want to launch AI projects, these vendors are acquiring smaller companies focused on different parts of the AI development process to capture a larger share of the market.

Selling a product or service?
Reach more buyers.

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