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Top 50 Data Science and Machine Learning Platforms Companies With $5M–$10M Revenue (August 2026)

As of August 2026, Latka tracks 496 data science and machine learning platforms companies with $5M–$10M in annual revenue. They have combined revenues of $3.4B and employ 28.2K people. They have raised $4.8B and serve 27.1M customers combined.

Every company below sells data science and machine learning platforms to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Data Science and Machine Learning Platforms Companies do

Data Science and Machine Learning Platforms are software solutions designed to facilitate the analysis, modeling, and interpretation of complex data sets using statistical and machine learning techniques. These platforms enable data scientists to build, train, and deploy machine learning models efficiently, often featuring tools for data visualization, preprocessing, and collaboration among team members. They support various workflows, including data ingestions, model development, and performance monitoring, catering to organizations aiming to leverage data-driven insights for decision-making. Typical use cases for these platforms include predictive analytics, customer segmentation, and operational optimization. They are utilized across various industries such as finance, healthcare, marketing, and technology. Common buyer personas include data scientists, data analysts, business intelligence professionals, and IT managers, who seek to extract actionable insights from data and improve business processes through advanced analytics and machine learning capabilities.

Companies
496
Revenue
$3.4B
Funding
$4.8B
Employees
28.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Science and Machine Learning Platforms Companies With $5M–$10M Revenue

Showing 10 of 496 companies ranked by annual revenue.

1Introhive logo
Introhive

Chicago, Illinois, United States

relationship intelligence and sales automation platform

Revenue
$10M
Customers
50
Year founded
2012
Funding
$127.6M
Team size
235
2Next Gate Tech logo
Next Gate Tech

Luxembourg

Next Gate Tech, a Luxembourg-based FundTech, provides SaaS solutions for asset management with machine learning, data analytics, and cloud-based automation.

Revenue
$10M
Year founded
2019
Team size
44
3MediaMath logo
MediaMath

New York, NY, United States

We are building a new accountable & addressable supply chain for the industry. Brands and their partners use our technology and services to achieve the performance they deserve with less effort. We created the first software for real-time media buying in 2007 and today work with over one-third of the Fortune 500 and more than 3,500 brands and their agency partners to grow and deepen direct customer relationships. Our clients can access the purest supply to reach real humans at the scale they need across channels like mobile, CTV and display and can use a combination of advanced AI and human expertise to drive improved results over time.

Revenue
$9.9M
Year founded
2007
Funding
$607.5M
Team size
90
4Entera logo
Entera

New York, New York, United States

Entera is the leading 3-sided marketplace focused on connecting Enterprise and Mid-Market investors, sellers and services providers in the single-family residential market. Powered by modern data science and Artificial Intelligence (AI), Entera’s marketplace offers the most seamless solution for investors to access, evaluate, transact and operate their single-family real estate investments. Backed by leading venture capital investors Goldman Sachs Growth, Bullpen Capital, and Craft Ventures, Entera is focused on delivering software innovation and offline service solutions that enable its’ investor clients to scale their operations quickly, make more market data-driven decisions confidently, and maximize financial returns. Since its inception in 2018, Entera has transacted on more than 15,000 single family homes valued at $5 Billion across 29 US markets. The company is headquartered in New York City, New York and Houston, Texas. Learn more at www.entera.ai.

Revenue
$9.9M
Year founded
2018
Team size
90
5neptune.ai logo
neptune.ai

Palo Alto, California, United States

Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.

Revenue
$9.9M
Year founded
2017
Team size
90
6Revuze logo
Revuze

Palo Alto, California, United States

Revuze is a leader in Generative AI analysis for online reviews, revolutionizing the consumer insights landscape. With years of experience leveraging LLM training, Revuze unlocks the full potential of insights from verified buyers across multiple e-commerce sources. Our cutting-edge solutions empower businesses to seamlessly integrate review analytics into their marketing and product processes, enabling strategic decision-making. Through high-quality data, insightful predictions, and scalable capabilities across sources and regions, we offer real-time analysis with intuitive features, dynamic dashboards, and comprehensive reports. From data collection to final visualization, Revuze’s end-to-end solutions ensure you can navigate the rapidly changing landscape of your categories and confidently make daily data-driven decisions. Discover the power of Revuze, the GPT of the consumer insights industry, and gain a deeper understanding of your customers and competitors.

Revenue
$9.9M
Year founded
2013
Team size
90
7indigitall logo
indigitall

Madrid, Madrid, Spain

indigitall, founded in 2013, develops and manages a Mobile Engagement Automation (MEA) marketing platform that allows its clients and users to efficiently manage all of their digital marketing and communication campaigns from a single dashboard while constantly improving data segmentation and conversion rates through Artificial Intelligence. Our Cloud and SaaS platform is focused on customer loyalty, engagement and retention through the most advanced digital marketing tools that allow personalized communication and messages to be segmented and sent at the most precise times and through the best channel. Indigitall, fundada en 2013, es una empresa que desarrolla una plataforma de marketing MEA (Mobile Engagement Automation) que permite a los Clientes gestionar eficazmente sus campañas de marketing digital y de comunicación para mejorar la fidelización de sus usuarios y audiencia y las conversiones en cuanto a su contenidos, servicios y productos. La solución de la empresa es una plataforma SaaS enfocada en la fidelización y retención de los clientes a través de las herramientas digitales de marketing más avanzadas que permite una comunicación personalizada, segmentada en el momento más preciso y de la manera más adecuada utilizando funcionalidades de Inteligencia Artificial.

Revenue
$9.9M
Year founded
2013
Team size
90
8Slingshot Aerospace logo
Slingshot Aerospace

El Segundo, California, United States

Developer of a cloud-based data platform designed to empower businesses with data-driven machine intelligence. The company's platform offers timely, enriched data through a streaming geospatial intelligence engine that provides ready access to enriched and accurate data leads when crop are failing, energy of water usage is excessive or when economic and other intel is needed, enabling clients to take timely strategic decisions while reducing risk and increasing profitability.

Revenue
$9.8M
Year founded
2016
Funding
$18M
Team size
147
9Worth AI logo
Worth AI

Orlando, Florida, United States

Worth AI is a fintech platform that automates onboarding and underwriting for financial institutions, utilizing AI to provide real-time insights and risk management.

Revenue
$9.8M
Year founded
2023
Team size
46
10Physna logo
Physna

Cincinnati, Ohio, United States

AI-powered 3D scanning and modeling software

Revenue
$9.8M
Customers
30
Year founded
2015
Funding
$26.9M
Team size
50

Frequently asked questions about Data Science and Machine Learning Platforms Companies With $5M–$10M Revenue

How many data science and machine learning platforms companies with $5M–$10M in annual revenue are there?

Latka tracks 496 data science and machine learning platforms companies with $5M–$10M in annual revenue. Together they generate $3.4B in annual revenue and employ 28.2K people.

Which data science and machine learning platforms company with $5M–$10M in annual revenue is the largest?

Introhive is the largest, with $10M in annual revenue, founded in 2012.

How much revenue does a typical data science and machine learning platforms company with $5M–$10M in annual revenue make?

The average data science and machine learning platforms company in this list makes $6.8M a year, across 496 companies with reported revenue. They serve 27.1M customers combined.

Who are the leading Data Science and Machine Learning platforms vendors with $5M–$10M in annual revenue?

Ranked by annual revenue, the leaders are Introhive, Next Gate Tech, MediaMath, Entera and neptune.ai.

How much funding have data science and machine learning platforms companies with $5M–$10M in annual revenue raised?

The 496 data science and machine learning platforms companies with $5M–$10M in annual revenue tracked here have raised $4.8B in disclosed funding between them.

Related Artificial Intelligence Software categories

Inclusion Criteria

- Must provide comprehensive tools for data preparation, analysis, and model deployment. - Must support collaboration features for data scientists and business stakeholders. - Must include capabilities for both supervised and unsupervised machine learning. - Must allow for the integration of various data sources and formats. - Not just for analysis; must also provide tools for model training and evaluation.