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Neuronix AI Labs reduces computer-vision AI cost and power consumption by more than 95% making large-scale cloud & edge deployments cost-effective and enabling computer-vision applications on end-devices with limited compute or battery power. Unlike other companies in the AI acceleration space, Neuronix is not looking to built its own silicon. Instead it is providing core IP that can run on existing programmable acceleration hardware known as FPGAs or be integrated into next generation chips. We aspire to be the core IP vendor of choice for AI acceleration just like ARM is for CPU technology.] As an early stage deep-tech company you need investors that understand both the technical details of the AI ecosystem as well as get and share the vision of a robust Computer-Vision AI that is easily integrated into IoT devices, Surveillance, autonomous systems etc. This is what we found at Grouport. Grouport investment as part of our pre-seed funding enables us to get to a working prototype and secure our first strategic partners and customers.We also expect the Grouport connections within the European community to help us uncover additional potential customers, partners and investors beyond the Silicon Valley and Israeli ecosystems that we are familiar with.

Computer vision challenges drive HW acceleration. The algorithm complexity has outgrown compute improvements, there is limited end-device processing and battery, and cloud processing of neural networks is expensive. Neuronix disrupts computer vision economics for end devices, edge, and cloud by combining two mutually synergic breakthroughs - deep neural-network accelerator and interface optimisation for compressed video. We believe in Yaron's and Asher's experience and dedication to turn their vision into reality.