Top Big Data Startups in 2026

Sight Machine strengthens manufacturers by providing the industry’s only standard data model and system-level visualization capabilities. By integrating all crucial data into a single platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface. Our platform is based on a service-oriented architecture, using APIs to drive a clean and responsive application experience. We are looking for team members to help us build, maintain, and improve the application that makes Sight Machine the leading provider of manufacturing data pipelines and analytics.

As population continues to age, there is a growing demand for motor rehabilitation services. The problem is that the way we address this growth or rehabilitation services (physical therapy) has not changed in thirty years because we are still heavily reliant on a one-to-one patient therapist interaction which is costly, non scalable, and difficult to ensure consistent quality. At SWORD Health, we saw the opportunity to take a truly disruptive and transformative approach to this problem by creating the first digital therapy solution that addresses the growing demand for therapy while reducing costs, empowering patients with their recovery to ultimately recover faster, and providing a rich source of data for clinical teams and decision makers. Video: vimeo.com/118489111

CB Insights fuses machine learning, algorithms, data and visualizations together to help large enterprises ask, answer and articulate compelling answers to difficult questions - about growth, about competition and about the markets and technologies of the future. Our machine learning technology mines vast numbers of unstructured documents such as patents, earnings calls, news articles, company websites, regulatory filings, social media and more to derive insights into the future of the global economy.

Shift Technology has decided to fight insurance fraud in a totally novel and disruptive way. We are offering a SaaS solution that is easy to integrate, pay-as-you-go, always up-to-date, and leverages our finely tuned mixture of bleeding edge machine learning algorithms and expert knowledge of the insurance business, with a powerful big data analytics platform.

Since we launched in 2012, our technology have been instrumental in fueling the explosive growth of many mobile games, including those developed by our own studio and by our studio partners. We build technology that helps make mobile games successful and enables developers to bring their games to more people around the world. We partner with game studios that leverage our powerful technology to optimize player experience. Our tools leverage our reach of over 350MM mobile gamers to give you the power to acquire new users, gain detailed insights, and monetize your games—all in one place.

Quantifind is a machine learning platform and software provider used by consumer brands and financial institutions to discover signals of revenue drivers and risk, including fraud and money laundering. The company’s algorithms extract signals from external, unstructured data by correlating it to private company data, such as sales data and customer records. Quantifind was founded in 2009 by Ari Tuchman and John Stockton, two quantum physicists from Stanford University and Caltech. The company extended its data-driven strategy business into multiple verticals including retail, financial services, entertainment, consumer packaged goods, telecom, and QSR. In 2018, Quantifind began applying its signal extraction methodology to help banks fight money laundering. Quantifind’s headquarters are located in Menlo Park, California, with additional offices in New York City and Washington, D.C.

Founded by the team that built Apache Kafka®, Confluent builds a streaming platform that enables companies to easily access data as real-time streams. Every byte of data has a story to tell, something of significance that will inform the next thing to be done. In a data-driven enterprise, how we move our data becomes nearly as important as the data itself. With greater speed and agility, data’s value increases exponentially. From its very early days, we have open-sourced Apache Kafka® and have led it to impressive industry-wide adoption across several thousand companies. Now we are focusing on building a streaming platform to help other companies get easy access to enterprise data as real-time streams.

Welcome to Geotab, the #1 commercial telematics company in the world. Geotab is a place where passion, creativity and innovation align. We are committed to advancing technology, empowering businesses and making the roads safer for everyone. Geotab is the world’s leading connected vehicle company for fleets, providing open platform fleet management solutions to businesses of all sizes. Geotab’s intuitive, full-featured solutions are used by over 40,000 customers around the world to help them better manage their drivers and vehicles. With Geotab devices found in over 2 million vehicles, the company processes over 30 billion data points each day to provide insight into productivity, safety, fuel efficiency and more.

Through its Native Parallel Graph™ technology, our TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. We fulfill the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph supports applications such as IoT, AI and machine learning to make sense of ever-changing big data. Our proven technology is used by customers including China Mobile, Intuit, Wish, and Zillow.

Swoop is building a secure, distributed operating system, allowing our customers to securely harness their data and construct a programmable, autonomous edge. The edge is where digital rubber meets the real-world road. Where data is produced, consumed, or networked to accomplish an objective. It is covered in assets -- chips, memory, networking interfaces -- that comprise a distributed computing platform. The edge is strategically important and asset-rich. Swoop is helping unlock its potential, so that search and analysis no longer end simply with incremental insights or neatly organized search results, but with autonomous action directly at the edge. Swoop's technology has been deployed in some of the world's most sophisticated environments. Our team is purposeful in directing our technology toward solving important problems. We are building for a future where advancements in critical infrastructure, smart grids, supply chains, and manufacturing are programmed into existing systems -- rapidly, adaptive, and economically feasible.