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

Westport, Connecticut, United States

Massive DH (massivedh.com) is a bootstrapped data-as-a-service platform founded in 2019 that sells proprietary AI-driven product intelligence to large consumer packaged goods companies. The company transforms publicly available e-commerce data into actionable category insights, covering product innovation, assortment optimization, and category management for brands such as Procter and Gamble and Changi Airport. As of early 2023, Massive DH reported approximately $996,000 in annualized revenue, up from roughly $480,000 the prior year, representing growth of more than 100 percent year over year. The company operates with a team of seven people, including three engineers, and has reached this scale entirely without outside capital. Gianluca Ruggiero, who leads the company, brings more than 20 years of consulting experience across Fortune 500 companies and five continents. The engineering team, based primarily in Italy, has published more than 100 academic papers on artificial intelligence, with AI research dating back to 2014. Ruggiero estimated the business could be valued at $10 million to $15 million applying a 10x revenue multiple.

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.

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.

London, England, United Kingdom

Democratizing data by building a universal source of data

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.

Paris, France

Speed up materials innovation with Artificial Intelligence

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.

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.

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.

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.