Silexica, which optimises how disparate applications work together on autonomous cars, raises $18M – TechCrunch

From Techcrunch

As we inch closer to building increasingly autonomous cars, the complexities that these vehicles will present as programmable hardware are increasing, with some 250 applications ranging from cameras to navigation controls to weather sensors running on a typical high performance system today. Now, a startup that is building a system to help optimise that and let all of those vendors work together in a neutral way is announcing some funding to continue its growth. Silexica, a startup based out of Cologne, Germany, that has developed a set of tools to help map and optimise a wide range of applications across multicore processors — specifically the kinds of applications and computers that power self-driving cars — has raised $18 million.

The Series B is led by EQT Ventures, the newish firm that sits under the PE firm EQT Partners, based out of Stockholm. Existing investors Merus Capital, Paua Ventures, Seed Fonds Aachen (Silexica originally spun out of the University of…

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