Startup Semantic Machines Scores Funding

February 26, 2016

A semantic startup looks poised for success with experienced  executives and a hefty investment, we learn from “Artificial Intelligence Startup Semantic Machines Raises $12.3 Million” at VentureBeat. Backed by investors from Bain Capital Ventures and General Catalyst Partners, the enterprise focuses on deep learning and improved speech recognition. The write-up reveals:

“Last year, Semantic Machines named Larry Gillick as its chief technology officer. Gillick was previously chief speech scientist for Siri at Apple. Now Semantic Machines is looking to go further than Siri and other personal digital assistants currently on the market. ‘Semantic Machines is developing technology that goes beyond understanding commands, to understanding conversations,’ the startup says on its website. ‘Our Conversational AI represents a powerful new paradigm, enabling computers to communicate, collaborate, understand our goals, and accomplish tasks.’ The startup is building tools that third-party developers will be able to use.”

Launched in 2014, Semantic Machines is based in Newton, Massachusetts, with offices in Berkeley and Boston. The startup is also seeking to hire a few researchers and engineers, in case anyone is interested.

 

Cynthia Murrell, February 26, 2016

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

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