As autonomous cars come closer to becoming reality, the complications these vehicles bring as programmable pieces of hardware are increasing with over 250 applications running from cameras, navigation controls, and weather sensors all running in a high-performance system.
A new startup wants to build a program to help optimize these applications and allow vendors to work with one another and is announcing new funding to continue growing. Silexica, a company based in Cologne, Germany, has developed a new set of tools to help optimize and map a wide variety of applications across several multi-core processors, targeting the specific applications that help self-driving cars, has recently raised $18 million.
The Series B is led by EQT Ventures, the new 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 Aachen) and DSA Invest all also participated in this round. The company has raised $28 million to date.
The funding, Silexica’s CEO Maximilian Odendahl (who co-founded the team with Johannes Emigholz and Weihua Sheng) recently said, will be used not just to increase its optimization features — allowing for an increasing variety of services and functionalities to be monitored and diagnosed — but also to add a cloud component to how it monitors and processes information on a vehicle.
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