CynLr a deep-tech start-up

CynLr, a deep-tech start-up raises $4.5 million to develop intelligent robots

CynLr, a deep-tech start-up, has raised $4.5 million in funding, which it will use to establish a corporate presence in the United States, grow its team to over 50 individuals, and increase its capacity to address the current pipeline of customers and deploy 100 robots per year.

CynLr is a visual object intelligence platform headquartered in Bengaluru that allows industrial robotic arms to see, interpret, and operate any object in unstructured surroundings.

CynLr was founded by Nikhil Ramaswamy and Gokul NA in 2019 to simplify and reduce the requirement for customized machines to manage things.

Srivats Ram (MD, TVS Group’s Wheels India); Shriram Vijayaraghavan (President, TVS Group’s Wheels India); Arvind Vasu (former Asia Head, ABB Technology Ventures); Nalin Advani (former CEO, GreyOrange Robotics); and Jayaram Pillai (former MD – India, Russia, Arabia, NI) were among the notable industry figures who took part in the round, which was led by Speciale Invest and growX Ventures.

“CynLr’s Machine Vision and Intelligence stack empower businesses to build factories out of universal LEGO-like robotic units, instead of complex custom machinery,” Ramaswamy noted.

“CynLr’s visual robots can instantaneously pick any object of any size, shape, weight, or material regardless of orientation and place with limited to no pre-training. This is the stepping stone in creating Universal Factories – a factory so standardized that any product from cars to phones to probably even your food, can be manufactured under the same roof, and is just a click-of-a-button away,” he continued.

On a similar note, Gokul said: “The revolution that data witnessed is yet to happen for manufacturing (object processing), held back by one factor: custom machinery”.

CynLr had previously raised $775K in seed funding in 2019, led by Speciale Invest and co-led by Arali Ventures. The current round of funding takes the startup’s total capital to $5.25 million.

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