Top 10 Predictive Analytics startups in USA

Updated: February 02, 2024

1
Funding: $1B
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
2
Funding: $744.4M
Socure's Consumer Verification and predictive analytics platform increases customer acceptance rates while reducing fraud and manual reviews.
3
Funding: $526M
6sense is a B2B predictive intelligence engine for marketing and sales. It accelerates sales by finding buyers at every stage of the funnel.
4
Funding: $251.2M
InsideSales.com helps sales people close more deals by incorporating Artificial Intelligence into the way they work. It prioritizes deals and provides insights into what works and what doesn’t by analyzing detailed reports around every call.
5
Funding: $186.8M
Flyr is a travel planning service that predicts air travel prices using machine learning technology.
6
Funding: $50M
SpaceTime Insight's machine learning analytics and industrial IoT applications optimize operations in motion, in context, and in real time. Acquired by Nokia.
7
Funding: $42.5M
Augmented writing is fueled by massive quantities of data, contributed by companies across industries and around the world. Textio’s predictive engine uses this data to uncover meaningful patterns in language, guiding you to stronger communication and better business outcomes.
8
Funding: $36.5M
Kumo.AI is an innovative SaaS AI platform for the modern data stack that allows businesses to make faster, simpler, and smarter predictions.
9
Funding: $24.8M
Predictive software for inventory decision-making in commerce, powered by AI/ML.
10
Funding: $17.8M
Skymind makes tools for prediction, data analytics and machine perception available to all businesses via open-core deep-learning.
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11
Funding: $13.6M
DataFox is a company intelligence platform that helps you find and prioritize your target companies to source more opportunities.
12
Funding: $10.6M
Jetlore builds unique user profile for every single user based on their behavior and their affinity for semantic attributes of content and the product. Then it leverages user profiles to display the most relevant and resonant content to every single user across any medium.