CynLr: Making Manufacturing Simple with Visual Robots!

Figure 1 Nikhil Ramaswamy and Gokul NA, CynLr

The fusion of science, technology, and engineering paved the way for a massive explosion of innovation. The continuous game-changing advances and discoveries taking shape in the Deep tech sector have brought about dramatic disruption in the way industries function. Robotics is one of those technological breakthroughs that has positively revolutionized our lives.

The advancements in robotics have created a positive impact across domains, mainly the manufacturing industry. For years, industrial robots have been playing a significant role in helping manufacturing companies streamline their workflow, close the skill gaps and labour crisis, boost productivity and maintain precision & consistency.

Deep tech startup CynLr’s ground-breaking Visual Robot platform helps “simplify” manufacturing that is trapped in the quick-sand of never-ending custom engineering cycles to automate, that currently takes years to complete if at all the automation is feasible. This customization today is largely due to the inability of the Robots to see. While on the other hand today’s best Vision & AI/ML, which entirely is focused on just colour & depth of an object, is incapable of assisting Object Manipulation. The startup is a brainchild of two deep tech enthusiasts, Nikhil Ramaswamy and Gokul NA, who envisaged setting up a visual object intelligence platform that enables industrial robotic arms to see, understand and manipulate any object in random unstructured environments, making them a one-stop solution – a LEGO block for all automation/object handling.

“Imagine a computer that processes objects instead of data. And that doesn’t look like the Laptop that you have but looks like this – the Visual Robot,” said Nikhil Ramaswamy, Co-Founder, CynLr.

The central thought was to develop a vision-guided robotics platform powered by trending technologies to help perceive and create prolific visuals to manipulate and handle the objects. The prime movers have worked their fingers to the bone to develop a technology that differentiates Sight from Vision and begins its algorithms from its HW using Auto-Focus Liquid Lens Optics, Optical Convergence, Temporal Imaging, Hierarchical Depth Mapping, and Force-Correlated Visual Mapping. It enables the robots with human-like vision and versatility to grasp even Mirror-Finished objects without any pre-training (a feat that that current ML systems can’t achieve). CynLr’s visual robots can comprehend the features of an object and re-orient them based on the requirements. The AI & Machine Learning algorithms help robotic arms process the task even in an amorphous setting and align them in the best way possible.

The idiosyncrasies of these cost-effective and resilient visual robots make them the most reliable and preferred visual robotic platform. Apart from the manufacturing companies, this technology can help simplify tasks for warehousing enterprises, logistics, and industrial kitchen.

This year has been favourable for CynLr as it has been successful in notching up a record fund of $4.5 million in pre-Series A funding led by Speciale Invest and growX Ventures. The other institutional investors that participated in the round include Anicut Capital, Infoedge, Java Capital, Venture Catalysts, and Arali Ventures. CynLr has already set a concrete objective of effectively using this fund to establish its presence in the US, scale its team to over 50 members and build capacity to address the customers, and deliver 100 Robots annually.

Before this funding, the Bengaluru-based start-up has secured INR 5.5 Cr in a seed funding round in the year 2019 which was also led by Speciale Invest, Arali Ventures, growX ventures, CIIE Initiatives, and Dr. Vijay Kedia.

“Currently a pre-revenue company and have raised funds to deliver to our current pipeline of customers. In the coming quarter, we will expand our presence to US,” he added.

The Path Ahead!

The team of CynLr has embarked on the mission of revolutionizing the manufacturing industry by bringing in smart manufacturing. Founded in 2019, the start-up plans to completely automate industrial robots by amplifying the computing system with the help of object intelligence. They intend to unleash the power of technology and innovation to develop a neural model of objects and lead advancement across industries.

“NASSCOM (CoE IoT & AI) is the first support that we got from outside and incubated us out of their facility. It got us through one of the toughest time – COVID 19 and they never backed down on us,”- Gokul NA, Co-founder, CynLr.

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