Bangalore: The deep-tech startup CynLr raised $4.5 million in a pre-Series A funding round led by Speciale Invest and growX Ventures. Besides, institutional investors including Anicut Capital, Infoedge, Java Capital, Venture Catalysts and Arali Ventures also participated.
Top businessmen including Srivats Ram (MD, Wheels India, TVS Group), Shriram Vijayaraghavan (President, Wheels India, TVS Group), Arvind Vasu (former Asia Head, ABB Technology Ventures), Nalin Advani (former CEO, Asia Pacific, GreyOrange Robotics) and Jayaram Pillai (former MD – India, Russia, Arabia, NI) also participated in the round.
CynLr envisions its visual robots or object-computers to ‘simplify’ manufacturing, just as the computers simplified data processing. The deep-tech startup will be set up its business presence in the US, scale its team to 50+ members and build capacity to address the current pipeline of customers and deliver 100 robots annually.
Nikhil Ramaswamy and Gokul NA launched CynLr (Cybernetics Laboratory) in 2019 to simplify and eliminate this need for tailored machines to handle objects – from manufacturing to warehousing and logistics to even industrial kitchens.
“CynLr’s Machine Vision and Intelligence stack empowers businesses to build factories out of universal LEGO-like Robotic Units, instead of complex custom machinery. 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,” said Nikhil Ramaswamy, Co-Founder and CEO – CynLr.
“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,” added Ramaswamy.
“The universalization of data processing that computers brought, made data the new oil. Yet everything that we consume is physical – from food, water, and air to gadgets. The revolution that data witnessed is yet to happen for manufacturing (Object Processing), held back by one factor: custom machinery,” said N A Gokul, Founder – CynLr.
“When it comes to adapting to unforeseen changes in manufacturing objects, human vision and hands are the only universal solution that we have. CynLr fills this void in current AI and ML, by looking at how Intelligence evolved along with vision in animals, over a billion years. This we believe will make objects the new data,” added Gokul.