DeepCube is purchased for approximately $40 million in cash and $30 million in American Depositary Shares (ADSs) 

Nano Dimension Ltd. has strengthened its Additively Manufactured Electronics activities with the acquisition of DeepCube Ltd. (“DeepCube”), a company that specializes in Machine Learning/Deep Learning (ML/DL) technology.

DeepCube’s shareholders will receive approximately $40 million in cash and $30 million in American Depositary Shares (ADSs) from Nano Dimension.

Founded by Dr. Eli David and Mr. Yaron Eitan, DeepCube technology applies numerous patented breakthrough algorithms to improve data analysis and deployments of advanced Deep Learning-based artificial intelligence (AI) systems.

The Machine Learning application includes faster and more accurate training of deep learning models, and drastically improves inference performance and real-time metrics. Its proprietary framework can be deployed on top of any hardware, especially fitting edge devices and real-time applications. DeepCube’s AI/ML/DL solutions demonstrate 10 times speed improvements and memory reduction, making it the only technology which allows efficient deployment of deep leaning models on edge devices and for real-time applications.

The entire team from the company will join Nano Dimension upon closing of this transaction.

Yoav Stern, CEO of Nano Dimension, commented: “Similar supply chain issues, as described recently in the public media in relation to the semi-conductor industry, are hovering over the printed circuit board fabrication and assembly (PCB/PCBA) industries (approximately $65-70 billion in size for fabrication1, and almost an order of magnitude larger for assembly).  Those segments are even more subject to margins pressure due to the Far East low labor cost and “non-free-market” effects on the capital intensity and pricing mechanisms.  Moreover, the PCB/PCBA industry is directly affected by the issues of the chip-components shortage. Nano Dimension’s vision is to establish “INDUSTRY 4.0” solutions, which entail building an AI/ML “distributed digital fabrication application” rather than just building machines as capital equipment. The “AI/ML/DL Distributed Electronic Fabrication Application” will enable a totally environmentally and ecologically friendly digital control of the supply chain for Hi-PEDs (High-Performance-Electronic-Devices), or very high performance AME-3D-PCBs.”

The core of this solution will be DeepCube’s AI/ML/DL “brain” that is expected to manage a neural network of edge devices, self-learning and self-improving their efficacy and self-managing and maximizing yield throughout the total network.  Nano Dimension machines shipping today (and especially next generation devices which are under development) will be edge devices in the “Digital-fabrication-neural-network” solution as described above”, Stern added.

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