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Top 50 Data Science and Machine Learning Platforms Companies Under $1M Revenue (August 2026)

As of August 2026, Latka tracks 1,621 data science and machine learning platforms companies under $1M in annual revenue. They have combined revenues of $778.7M and employ 9.4K people. They have raised $411.4M and serve 786.7K 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
1,621
Revenue
$778.7M
Funding
$411.4M
Employees
9.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Science and Machine Learning Platforms Companies Under $1M Revenue

Showing 10 of 1,621 companies ranked by annual revenue.

1Buster.AI logo
Buster.AI

France

We are a French-based early-stage startup developing a cutting-edge product on top of modern technologies. We aim at removing biases in the news industry, helping publishers and brands to combat misinformation. Facing the increasing exposure of the general public to misinformation and the resulting distrust in media, we ambition to act as a safe harbor for those companies. Our product helps publishers and brands understand what the content is made of – through content auditing and analytics – and provides them with all the actionable recommendations to improve their content production and business strategies.

Revenue
$994.1K
Year founded
2019
Funding
$2.3M
Team size
3
2EidoSearch logo
EidoSearch

Boston, Massachusetts, United States

Provider of a predictive analytics technology intended to provide a time series of data. The company's predictive analytics technology uses probability intelligence tool identifies data series from data set, search for multiple disparate patterns simultaneously, find similar conditions and provide relevant results, enabling businesses to get data-based intelligence to uncover opportunities and better estimation of risks.

Revenue
$991.3K
Year founded
2010
Team size
8
3Work With Data logo
Work With Data

London, England, United Kingdom

Democratizing data by building a universal source of data

Revenue
$990K
Team size
9
4nexaPDF logo
nexaPDF

Hamburg, Germany

At nexamind we build complex RAG applications for companies. The biggest challenge is a robust & scalable way to extract data from unstructured PDF documents. That is why we crafted nexaPDF.

Revenue
$990K
Team size
9
5Osium AI logo
Osium AI

Paris, France

Speed up materials innovation with Artificial Intelligence

Revenue
$990K
Year founded
2023
Team size
9
6CAMEL-AI.org logo
CAMEL-AI.org

United States

Crab is a comprehensive framework designed by Camel AI for building and benchmarking environments tailored for large language model (LLM) agents. The platform supports the creation of cross-platform environments, allowing for deployment across in-memory systems, Docker-hosted environments, virtual machines, or distributed physical machines. Crab provides an easy-to-use Python-centric interface for defining agent environments and actions, making it flexible for various use cases. Additionally, it includes a novel benchmarking suite that provides fine-grained evaluation metrics.

Revenue
$990K
Year founded
2023
Team size
9
7Mantis logo
Mantis

United States

Mantis agent can process large volumes of administrative documents in unstructured formats, helping you organize them by performing validations, calculations, and data extraction. It enables the execution of tasks such as reconciliation, collection, balancing, and procurement. Mantis saves over 60% in operational costs, eliminates 90% of human errors, and executes processes 20 times faster.

Revenue
$990K
Team size
9
8Wayfound logo
Wayfound

SAN FRANCISCO, California, United States

Wayfound is your central hub to monitor and improve your AI Agents, so you can scale your AI strategy with confidence.

Revenue
$990K
Year founded
2023
Team size
9
9Planifi logo
Planifi

Boston, MA, United States

Planifi uses real-time data from your financial system, Planifi AI, and automated planning wizards to enable managers to update their plans in seconds. The result is that everyone will have the ability to visualize revenue, backlog & staffing demand by office, discipline, & more in real time.

Revenue
$990K
Year founded
2015
Team size
9
10Alli AI logo
Alli AI

Rehoboth Beach, Delaware, United States

Revolutionizing enterprise SEO through AI-powered automation that delivers unprecedented scale and efficiency. Alli AI transforms how businesses optimize their search presence with a comprehensive suite of intelligent tools. Our enterprise-grade platform features: i) Bulk optimization engine for seamless large-scale SEO implementation ii) Live browser-based editor for instant SEO changes across any CMS iii) AI-driven site speed optimization reducing load times by up to 80% iv) Automated A/B testing for titles and meta descriptions that maximize CTR v) Intelligent schema markup generator for guaranteed rich results vi) Smart internal linking system for improved user engagement vii) Real-time rank tracking with location-specific insights From Fortune 500 companies to growing digital agencies, Alli AI eliminates technical barriers and manual workflows that slow down SEO success. Our point-and-click interface puts enterprise-level optimization capabilities at your fingertips, while our AI continuously fine-tunes your site's performance based on real user behavior. Break free from developer dependencies and complex CMS constraints. Join forward-thinking businesses leveraging Alli AI to dominate search rankings through intelligent automation.

Revenue
$990K
Year founded
2017
Team size
9

Frequently asked questions about Data Science and Machine Learning Platforms Companies Under $1M Revenue

How many data science and machine learning platforms companies under $1M in annual revenue are there?

Latka tracks 1,621 data science and machine learning platforms companies under $1M in annual revenue. Together they generate $778.7M in annual revenue and employ 9.4K people.

Which data science and machine learning platforms company under $1M in annual revenue is the largest?

Buster.AI is the largest, with $994.1K in annual revenue, founded in 2019.

How much revenue does a typical data science and machine learning platforms company under $1M in annual revenue make?

The average data science and machine learning platforms company in this list makes $480.4K a year, across 1,621 companies with reported revenue. They serve 786.7K customers combined.

Who are the leading Data Science and Machine Learning platforms vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Buster.AI, EidoSearch, Work With Data, nexaPDF and Osium AI.

How much funding have data science and machine learning platforms companies under $1M in annual revenue raised?

The 1,621 data science and machine learning platforms companies under $1M in annual revenue tracked here have raised $411.4M 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.