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The Series A investment round was led by DNS Capital and GSR Ventures with participation from Accel and Reinvent Capital among others. “Our next-gen robotics technology will allow retailers and grocers of all sizes to have the fastest and most affordable fulfilment.” Nimble Robotics, which develops imitation learning-based warehouse robotic systems, raises 50M Series A, and adds Fei-Fei Li and Sebastian Thrun to its board Warehouse automation company Nimble Robotics today announced that it has raised a 50 million Series A. “There is no fulfilment solution that can handle double the orders, fulfil them in half the time, with half the staff, for half the cost,” said Kalouche. For sources of this data, please see the company profile. Matrixyz is a provider of AI-based simulation solutions. Nimble Brian Heater Warehouse automation company Nimble Robotics today announced that it has raised a 50 million Series A. The company said its recent growth had been catalysed by the Covid-19 pandemic, with e-commerce surging in 2020. Nimble Robotics is a company specializing in autonomous logistics and AI robotics solutions. Nimble’s fleet of AI-powered robots pick, pack, and handle products spanning from the apparel and electronics sectors to beauty, general merchandise and grocery items. The other 5 to 10% is assisted by remote human operators, but it’s reliable on day one, and it’s reliable on day 10,000.” Fei-Fei Li is currently Director at Nimble Robotics - View - Nimble Robotics org chart. “It’s not fully autonomous – it’s autonomous maybe 90 to 95% of the time. Fei-Fei was Chief Scientist of Artificial Intelligence, Machine learning and Vice President for Google Cloud. Simon Kalouche, Nimble’s CEO, said: “Instead of letting it sit in a lab for five years and creating this robotic application before it’s finally ready to deploy to the real world, we deployed it today. The funds will be used to help Nimble double the size of its team and further develop its platform, which utilises deep imitation learning to helps the company’s robotic solution map and improve through imitation.
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