Companies in the predictive analytics sector developing innovative solutions and technologies.
Explore 646 recently funded predictive analytics companies with verified founder contact information and fundraising data.
Needle is the marketing agency replacement for DTC ecommerce brands that delivers faster, costs less, and gets sharper every week.
AI-powered vessel optimisation for the maritime industry
CoreX Capital AI offers an AI-powered trading ecosystem that provides market analysis and trading signals for various financial instruments.
Epitel is a medical technology company that develops wearable EEG devices and software for neurological monitoring and data analysis.
Biofourmis is a biotechnology company that develops healthcare technology platforms for monitoring patients at home.
VEDA is an AI and machine learning platform to save healthcare and administrative costs.
Infima is a deep-learning-based mortgage analytics platform for predicting borrower payment behaviors.
AI-powered platform offering real-time financial insights, market forecasts, sentiment analysis, and investment risk intelligence.
kausable is a German DeepTech startup building AI models that learn from minimal data and adapt without constant retraining.
Ocula Technologies offers advanced analytics with our sustainable growth platform enabling brands and retailers to outperform competitors.
Oktogrid offers a solution to assist the energy industry in digitising assets in a simple manner while keeping critical assets operational.
Thea develops AI agents and behavioral analytics systems for decision intelligence in volatile risk markets.
SaaS based Employee Engagement and People Analytics Platform
Trilliant Health combines industry expertise, market research, and predictive analytics to form Evidence-Based Strategy for Healthcare™.
Simfoni provides spend analytics and spend automation products to leading global enterprises.
Ursa Space Systems is a satellite intelligence company that provides data solutions and analytic services.
BeeBryte remotely optimizes HVAC-R systems using AI to cut energy costs, ease operations, and ensure regulatory compliance.
We provide solutions that help lenders grow their cash flow and transform their borrower's experience with human-centered AI.
Kalshi is a regulated prediction market where users trade event-based contracts tied to real-world outcomes.
XCO is advancing physical, cognitive and biometric performance across the spectrum of health and aging.
Circuit Mind is a technology company that develops electronic circuits from concept to prototype or production based on AI platform.
Empowering Your Building and City Management with Visually Intelligent Digital Twins
Cipher is powered by advanced analytics that drive the machine learning models developed by team of data scientists.
Tecton provides an enterprise-ready feature store to make machine learning accessible to every company.
The predictive analytics sector is an active area of startup innovation and venture capital investment. Companies in this space are developing new technologies, platforms, and services that address evolving market needs and create new business opportunities.
Predictive Analytics companies raise capital across various funding stages, from early seed rounds to late-stage growth financing. Investor interest in this sector is driven by the size of the addressable market, the pace of technology adoption, and the potential for scalable business models.
The predictive analytics sector is expected to continue evolving as technology advances, market dynamics shift, and new opportunities emerge. Companies that demonstrate strong product-market fit, efficient growth, and clear competitive advantages are well-positioned to attract continued investment.
Here is how funding is distributed among the 646 predictive analytics companies tracked in the VCBacked database.
Companies in the predictive analytics sector often overlap with or complement businesses in adjacent industries. Exploring related verticals can help you discover additional companies, identify partnership opportunities, and understand the broader competitive landscape.
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