Aurora Labs

Webinars by this Knowledge Partner

Navigating consumer perspectives in the world of software-defined vehicles

March 25, 2024

Experts from Renault, Aurora Labs, CuriosityCX, and Vision Mobility examine what consumers expect from the software-defined vehicle.

Six key takeaways from the 2023 State of Automotive Software survey

December 12, 2023

Experts from Aurora Labs and TechInsights present six insights from the recently published annual Automotive Software Survey.

Overcoming automotive software development challenges with AI

September 19, 2023

Experts from Aurora Labs and Guidehouse Insights discuss how tools imbued with artificial intelligence (AI) capabilities can address software development challenges.

Aurora Labs is pioneering the use of AI and software intelligence to solve the challenge of automotive software development.

Aurora Labs brings AI-based vehicle software intelligence to the entire lifecycle of a vehicle from software development to testing, integration, quality control, continuous certification and on-the-road over-the-air software updates.

Aurora Labs focuses on the embedded systems that are key to the development of the software-defined vehicle and enables automotive manufacturers to more efficiently manage software costs and the resources required to develop and manage new vehicle features and mobility services.

The company’s products have been adopted on customer platforms around the world, and with a commitment to conform and meet ISO-26262/ASIL-D and ASPICE-L2, will be in vehicles in coming car models.

Aurora Labs, founded in 2016, has raised approximately US$100m and has been granted 100 patents. The Company is headquartered in Tel Aviv, Israel, with offices in Germany, Japan, Sweden, North Macedonia, the UK, and the US.

Website

Aurora Labs

Webinars by this Knowledge Partner

Navigating consumer perspectives in the world of software-defined vehicles

Six key takeaways from the 2023 State of Automotive Software survey

Overcoming automotive software development challenges with AI

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