Top 4,322 Data Science and Machine Learning Platforms SaaS Companies in July 2026
As of July 2026, there are 4,322 SaaS companies in Data Science and Machine Learning Platforms. They have combined revenues of $53.9B and employ 458.6K people. They have raised $66.8B 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.
Developer of a cloud-based emotional analytics platform created to measure and understand emotions in real-time. The company's platform combines neuroscience, cognitive technology and machine learning to understand emotions and their impact on learning, health and well-being as well as tracks, predicts and recommends customers based on relevant emotional states, enabling users to receive a new technology of artificial intelligence with empathy to improve their lives.
Innovation OS - one platform for everything innovation The ITONICS Innovation OS combines human ingenuity and machine intelligence in a collaborative innovation management software.
Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work.
We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.
Developer and provider of data science platform intended for data scientists. The company's SaaS platform which equips data science teams with high-leverage automation tools which include one-click publishing and sharing, scaling to GPUs, flexible custom environments, and eliminating hours of traditional, manual work, enabling companies to perform data science at a new level of scale, with one-click solutions.
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
Next Gate Tech, a Luxembourg-based FundTech, provides SaaS solutions for asset management with machine learning, data analytics, and cloud-based automation.
Revenue
$10M
Customers
-
Year founded
2019
Funding
-
Team size
44
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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