Top 4,321 Data Science and Machine Learning Platforms SaaS Companies in May 2026
As of May 2026, there are 4,321 SaaS companies in Data Science and Machine Learning Platforms. They have combined revenues of $52B and employ 466.7K people. They have raised $55.6B and serve 3.8B customers combined.
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.
Nanonets leverages advanced OCR and Deep Learning technology to efficiently extract relevant information from unstructured text and documents. It enables the digitization of documents, extraction of specific data fields, and facilitates integration with everyday applications through APIs, all within a simple and intuitive interface. This technology significantly streamlines manual processes by automating tasks such as invoice, receipt, and document reviews. It notably reduces processing time by up to 90% and can save up to 50% on costs.
OmniJobs analyses and categorises open job ads using AI so that anyone can find matching positions in seconds, regardless of their location or profession. Currently we list over +180K open jobs from +15K companies globally.
Clay is a New York-based AI-powered sales intelligence and data enrichment platform designed to help growth and revenue operations (RevOps) teams automate personalized outreach and build comprehensive customer profiles. Founded in 2017 by Kareem Amin and Nicolae Rusan, the company has raised $102 million in funding, achieving a valuation of $1.3 billion as of early 2025 .
SambaNova is the leading Enterprise AI company that delivers a full-stack infrastructure from silicon to software, specializing in machine learning and big data analytics platforms.
Degreed is an AI-driven learning platform that helps identify skill gaps, provides personalized learning, and automates learning experiences for upskilling and certification.
DevRev is designed for AI to work alongside people by converging business infrastructure, which we call AgentOS. AgentOS unlocks the power of AI Agents,
We can replace legacy systems with an interconnected platform to automate labor-intensive tasks, and enhance the customer experience with self-service and preemptive engagement. Despite its breadth, AgentOS begins to deliver value in hours rather than months through our powerful data replication, sync capabilities, and analytics AI agents.
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Revenue
$100M
Customers
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Year founded
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Funding
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Team size
510
Growth
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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.
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