
Boston, Massachusetts, United States
SaaS that helps renewables & energy storage operate more profitably
- Revenue
- $5M
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 10
- Growth
- -
As of May 2026, there are 1,830 SaaS companies in Predictive Analytics Software. They have combined revenues of $19.1B and employ 138.2K people. They have raised $18B and serve 1.3B customers combined.
Predictive Analytics Software refers to a category of applications designed to analyze historical and current data to forecast future events and trends. These tools employ various statistical techniques, machine learning algorithms, and data mining methods to help organizations make informed decisions. Users in fields such as finance, marketing, operations, and supply chain management seek predictive analytics for its ability to enhance decision-making processes through actionable insights. Typical features of predictive analytics software include data integration capabilities, predictive modeling, visualization tools, and reporting functionalities. Common workflows often involve data extraction, preparation, analysis, and reporting, enabling users to identify patterns and make predictions based on factual data. Buyer personas may include business analysts, data scientists, and operational decision-makers who require insights for strategy development and resource allocation.
Sorting: Highest -> Lowest
Showing 10 of 737 companies ranked by annual revenue.

Boston, Massachusetts, United States
SaaS that helps renewables & energy storage operate more profitably

Hyvinkää, Finland
Keto Software specializes in providing cutting-edge no-code solutions for strategic portfolio management, integrating AI and advanced analytics to enhance decision-making and operational agility. Our platform streamlines complex data processing, offering intuitive dashboards and predictive insights to empower businesses in navigating digital transformation and achieving strategic objectives efficiently.

Washington, District of Columbia, United States
Developer of healthcare technology designed to measure SDOH (Social Determinants of Health) in patients. The company's platform a secure, cloud-based platform that manages data fusion, analytics and visualizations of community and individual SDOH risk, allowing organizations to prioritize and match targeted social interventions to the specific needs of socially and clinically complex patients.

San Francisco, CA, United States
Powerful, flexible, and data-driven, Gyaan AI makes it easy to consistently execute deal-winning plays to drive growth and boost your pipeline. GTM teams that use Gyaan drive adoption of their sales process and win bigger deals. It takes a team to win a champion. So get out there and play hard. See us in action at gyaan.ai.

Bordeaux, Nouvelle-Aquitaine, France
Atoptima offers a suite of powerful optimization solvers to meet operations planning challenges such as: transportation planning and vehicle routing; parceling, 3D palletization and loading; order picking and slotting; production scheduling and planning; depot location, network design and strategic planning. These decision-support tools are available in Software-As-A-Service, and significantly improve operational performance while decarbonizing the supply chain.

Sao Paulo, Sao Paulo, Brazil
Developer of an analytical platform intended for the corporate legal department. The company's platform uses artificial intelligence to detect the trends of the judiciary in-depth, enabling clients to reduce costs, risks and increasing the level of predictability of legal liabilities.

Punjab, , Pakistan
Transform Evaluation with EvalPro AI: Lightning-Fast Feedback, Automated KPIs, Effortless Feedback Creation! Plus, enjoy automated monthly summaries for your team. 📈 #EvalProAI

San Francisco, California, United States
Predictive analytics and clinical pathways for hospitals

Gilbert, Arizona, United States
Advertising agency disrupting the television ad-buying industry by using data analytics to purchase the specific commercials that drive traffic
- The software must provide advanced analytics capabilities to analyze historical and current data. - It should include predictive modeling to forecast future trends and behaviors. - The tool must facilitate data visualization to present insights clearly and effectively. - It should integrate with other data systems and sources for comprehensive analysis. - Not just basic reporting; it must include statistical analysis and machine learning features. - User interfaces should be designed for accessibility to business users, not just data experts.
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