Intel Capital Fuels Innovation with $60 Million of New Investments in 15 Data-Focused Startups

Intel Capital, Intel Corporation’s global investment organization, today announced new investments totaling more than $60 million in 15 technology startups. The company introduced the CEOs and founders of the startups at the Intel Capital CEO Showcase, which is being webcast in the Intel Newsroom. This latest group of new portfolio companies brings Intel Capital’s year-to-date investing to more than $566 million.

“The world is undergoing a data explosion,” said Wendell Brooks, Intel senior vice president and president of Intel Capital. “By 2020, every autonomous vehicle on the road will create 4 TB of data per day. A million self-driving cars will create the same amount of data every day as 3 billion people.

“As Intel transitions to a data company, Intel Capital is actively investing in startups across the technology spectrum that can help expand the data ecosystem and pathfind important new technologies,” Brooks said.

The companies joining Intel Capital’s portfolio are trailblazing technologies that leverage multiple facets of the data lifecycle – including analyzing, capturing, managing and securing data. These newly funded companies focus on artificial intelligence, 3D medical visualization, robots for retail, and cybersecurity inspired by the human immune system, among other technologies.

Brooks also announced that, two years after the launch of the Intel Capital Diversity Initiative, more than 10 percent of Intel Capital’s portfolio companies now are led by women or other groups underrepresented in the technology industry – including three of the companies introduced today.

More details on Intel Capital’s new investments in 15 pioneering data startups:

Analyzing Data

Amenity Analytics* (New York, U.S.) has built a text analytics platform that allows customers to identify actionable signals from unstructured data. Its open data source architecture and cloud-based computing provides unmatched speed, scope and scale. The Amenity Analytics process combines machine learning, sentiment analysis and predictive analytics to produce some of the highest levels of accuracy in the industry.

Bigstream* (Mountain View, California, U.S.) provides hyper-acceleration technology that delivers orders of magnitude performance gains for Apache Spark using hardware and software accelerators. Hyper-acceleration of big data and machine learning workloads is achieved using advanced compiler technology and transparent support for FPGAs. Unlike other approaches, Bigstream requires no application code changes or special APIs.