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Vision deep learning firm Algolux wins $10m investment from GM

Algolux, a provider of machine-learning stacks for autonomous vision, has closed a $10 million series A funding round led by General Motors (GM) Ventures. The investment syndicate includes Drive Capital, Intact Ventures, and Real Ventures.

Algolux’s Camera-Aware Neural Architecture (CANA) full-stack deep neural network has also won best automotive solution in the Vision Product of the Year award at the Embedded Vision Summit, taking place from 21 to 24 May in Santa Clara, USA.

Algolux’s deep perception technology is designed for safer ADAS and autonomous vehicles, along with more accurate video security systems, and better mobile imaging in harsh environments.

Its neural architecture integrates the image formation model – the optics and sensor – with a high-level computer vision model. CANA is a full-stack solution that provides significant improvement in imaging and perception without an ISP.

The company has also been collaborating closely with the automotive imaging and vision system community as a member of the camera-centric IEEE SA-P2020 Standard for Automotive System Image Quality, contributing to the development of methods and metrics to enable improved vehicle safety.

‘Safety is the overriding priority for autonomous vehicle development. Complete autonomy will only be realised through a leap in perception and inference performance. Algolux’s unique machine learning applications can accelerate the realisation of these performance gains for next-generation perception stacks, and thus accelerate the advancement of safe autonomous transportation,’ said Jason Nolte, GM Ventures investment manager.

Nolte and Mark Kvamme, partner at Drive Capital, will be joining the Algolux board of directors. They will serve alongside Alan MacIntosh, general partner at Real Ventures, Chris Rowen, CEO of Babblabs and founder of Tensilica, and CEO Allan Benchetrit.

The Vision Product of the Year award at the Embedded Vision Summit is open to Embedded Vision Alliance members; entries are selected by an independent panel of judges.

Benchetrit, Algolux president and CEO, commented: ‘The award highlights how Algolux’s autonomous vision technology is on its way to making a meaningful impact on the mission-critical concern of safety in the development and deployment of vision systems in the automotive industry.’

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