Intel Capital has disclosed that it has made $72 million investment in 12 technology start-ups. Intel Capital’s year-to-date investments have reached more than $115 million with this new funding.
Intel Capital has selected majority of technology start-ups from North America. One China-based technology start-up has received funding from Intel Capital. India does not feature in the list of Intel Capital for making investment.
“These innovative companies are helping shape the future of artificial intelligence, the future of the cloud and the Internet of Things, and the future of silicon,” said Wendell Brooks, Intel senior vice president and president of Intel Capital at the 18th Intel Capital Global Summit in Palm Desert, California.
NBA and Intel Capital have joined hands to announce a sports and entertainment technology innovation collaboration. The partnership aims at the identification, formation and growth of technology companies that can impact the future of the NBA, sports and entertainment.
Intel Capital announced it has surpassed – two and a half years ahead of schedule – its 2015 goal to invest $125 million in start-ups run by women and underrepresented minorities.
Two-thirds of the dollars Intel Capital invested in diverse start-ups in 2017 were deployed outside the United States.
Intel Capital’s investments in 12 start-ups
Artificial Intelligence
Avaamo, based in Los Altos, California, U.S., is a deep learning software company that specializes in conversational interfaces to solve specific, high-impact problems in the enterprise.
Fictiv, based in San Francisco, California, U.S., is democratizing access to manufacturing, transforming how hardware teams design, develop and deliver physical products. Its virtual manufacturing platform pairs intelligent workflow and collaboration software with Fictiv’s global network of highly vetted manufacturers.
Gamalon, based in Cambridge, Massachusetts, U.S., is leading machine learning with an AI platform that teaches computers actual ideas.
Reconova, based in Xiamen, China, is a leading AI company providing visual perception solutions.
Syntiant, based in Irvine, California, U.S., is an AI semiconductor company that is accelerating the transition of machine learning from the cloud to edge devices.
Cloud and IoT
Alauda, based in Beijing, China, is a container-based cloud services provider empowering enterprise IT with its enterprise platform-as-a-service offering and other strategic services. It delivers cloud-native capabilities and DevOps best practices to help enterprises modernize application architecture, maximize developer productivity and achieve operational excellence.
CloudGenix, based in San Jose, California, U.S., is a software-defined wide-area network (SD-WAN) leader, transforming legacy hardware WANs into a software-based, application-defined fabric. CloudGenix customers experience up to 70 percent WAN costs savings, an improved user experience for their applications, and more than 10x improvements in application and network uptime.
Espressif Systems, based in Shanghai, China, is a fabless semiconductor company that leverages wireless computing to create cost-effective IoT solutions.
VenueNext, based in Santa Clara, California, U.S., provides a smart-venue platform that connects a facility’s siloed operational systems to give guests seamless access to services via their smartphones, and provides real-time analytics and insights that transform business outcomes.
Silicon
Lyncean Technologies, based in Fremont, California, U.S., develops the Compact Light Source (CLS), a miniature synchrotron X-ray source. Enabling a reduction in scale by a factor of 200, the CLS shrinks a machine capable of synchrotron quality experiments from stadium-sized to room-sized.
Movellus, based in San Jose, California, U.S., develops semiconductor technologies that enable digital tools to automatically create and implement functionality previously achievable only with custom analog design.
SiFive, based in San Mateo, California, U.S., provides market-ready processor core IP based on the RISC-V instruction set architecture.
