SUNRISE, FL – Nano Dimension has signed a definitive agreement to acquire DeepCube, a machine learning/deep learning technology company.
Nano Dimension will pay the shareholders of DeepCube approximately $40 million in cash and $30 million in American depositary shares of Nano Dimension, which are subject to standstill for various periods of up to three years after closing of this transaction. Such closing is expected in the next few days, subject to the satisfaction of customary closing conditions.
DeepCube technology applies numerous algorithms to improve data analysis and deployments of deep learning-based artificial intelligence systems. The machine learning application includes accurate training of deep learning models, and improves inference performance and real-time metrics.
DeepCube’s scientists and engineers are expected to join Nano Dimension. Eli David, Ph.D., CTO and co-founder of DeepCube, will become Nano Dimension’s CTO of ML/DL.
“Similar supply chain issues, as described recently in the public media in relation to the semiconductor industry, are hovering over the printed circuit board fabrication and assembly industries (approximately $65-70 billion in size for fabrication, and almost an order of magnitude larger for assembly),” said Yoav Stern, CEO of Nano Dimension. “Those segments are even more subject to margin 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 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 under development) will be edge devices in the digital-fabrication-neural-network solution as described above.
“Think about the personal computers of 1988 to 1998, which metamorphosed from a standalone personal device to an edge device of the local area networks, then the wide area networks, then the internet and eventually the cloud. Nano Dimension’s Industry 4.0 vision means the eventuality of maintaining inventory of high-end electronics devices in digital form. Print them as you need them, where you need them, only the quantity you need, in the best quality at competitive prices, as it is done in highest yield and throughput possible for that point in time, specifically in high-mix/low-volume scenarios.”
“Over the last 18 months, DeepCube has been negotiating with a few of the world-leading integrated circuits and central processing unit manufacturers that are still hoping to adopt its unique AI technology for dramatically improving the efficiency of deep learning deployments in the real-world,” said David. “Those opportunities will be pursued as a part of Nano Dimension’s strategy. However, we believe we shall reinforce our proof of concepts for those large players by joining forces with Nano Dimension. This is the most exciting opportunity for us, since we believe our advanced AI capabilities, combined with Nano Dimension’s unique technological edge, can realize the Industry 4.0 vision and revolutionize the entire AME industry.”
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