Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Limitless Labs raises $20 million to expand AI platform for CNC programming and precision manufacturing
Limitless Labs, a company specializing in AI software for CNC programming and precision manufacturing, has successfully secured $20 million in a Series A funding round. This investment, co-led by Dell Technologies Capital and Square Peg, aims to enhance the company's physical AI platform and expedite its implementation within the manufacturing industry. Additional contributions came from Grove Ventures and Meron Capital, among others. The funding will enable Limitless Labs to further develop its innovative solutions, addressing the growing demand for advanced manufacturing technologies.
Engineering Manufacturing agentic ai ai manufacturing automation news Blue Origin
Robots Could Turn E-Waste Into a Source of Legacy Chips
In response to increasing regulatory pressures regarding electronic waste, Tuurny, a San Francisco-based startup, is developing an innovative automated system aimed at enhancing e-waste recycling. With global e-waste projected to reach 82 million tonnes annually by 2030, current recycling methods capture less than one-third of the recoverable metal value from discarded electronics. Tuurny’s robotic system, named Nantul, is designed to identify and extract reusable components, particularly RAM integrated circuits, from circuit boards before they are shredded. The company plans to deploy dozens of these machines in early 2027 through a partnership with Areera, a UK-based television recycler that processes 1,500 tonnes of televisions monthly. Tuurny’s approach contrasts with traditional recycling methods, which often destroy valuable components by mixing them into bulk streams. Instead, Nantul employs advanced robotics and computer vision to carefully remove and sort components, aiming to create a new supply chain from recycled materials. Sina Ghashghaei, Tuurny’s founder, emphasizes the importance of recovering components from legacy systems, where sourcing replacements can be challenging. The technology, which combines suction, controlled heat, and robotic controls, is designed to minimize damage during extraction. While experts acknowledge the technical feasibility of Tuurny’s approach, challenges remain in ensuring the robots can adapt to the variability of e-waste and operate cost-effectively. The success of this initiative could significantly impact the recycling industry and address supply chain concerns for critical components in various sectors.
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