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Bengaluru Robotics Startup CynLr Secures $10M Series A Funding to Advance Industrial Automation

CynLr, a deep-tech robotics startup, has raised $10 million in a Series A funding round led by Pavestone and Athera Venture Partners, with participation from existing backers such as Speciale Invest and Infoedge. The company, also known as Cybernetics Laboratory, focuses on advanced factory automation with its three-armed, modular robot system, CyRo, designed for complex industrial tasks.

CynLr’s proprietary robotic vision technology, CLX-01, differentiates CyRo from traditional machine learning systems by using real-time motion and dual-lens convergence to dynamically perceive depth, even for reflective or transparent objects in varying lighting conditions. This “event imaging” approach allows CyRo to handle unfamiliar objects without prior data, expanding its use cases in industrial automation.

The startup plans to allocate the new funds to grow its team from 60 to 120 employees, with new hires across business operations, marketing, and sales in India, the US, and Switzerland. In addition, CynLr will expand its Bengaluru robotics lab, which currently houses 25 robot systems, aiming to scale to over 50 systems by 2026.

CynLr’s founder, Nikhil Ramaswamy, shared that recent advancements in CyRo’s capabilities bring the company closer to establishing an “Object Store” — a platform where users can select applications and object models for instant task execution by the robot. Athera Venture Partner’s General Partner, Samir Kumar, noted that CynLr’s technology, capable of performing intricate tasks like inserting a screw without slippage, holds significant potential to elevate manufacturing efficiency.

With this latest funding, CynLr has raised a total of $15.2 million, building on a prior round of $4.5 million raised in 2022.

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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