About CynLr
Just like a baby’s brain, CynLr Visual Intelligence stack makes Robots to instinctively see & pick any object under any ambience, without any training. (a demo video link).
Today, a robot that can fit a screw into a nut without slipping a thread, doesn’t exist. Imagine what it would take for a robot to assemble a Smartphone or a car by putting together 1000s of parts with varied shapes and weights, all in random orientations. Thus, factories become complex, needing heavy customization of their environment.
CynLr-enabled visual robots intuitively learn to handle even unknown objects, on-the-fly, eliminating the need for rigid fixtures, pre-training, or environment customization. This enables an universal alternative to custom automation thus simplifying factory lines into modular LEGO-like micro-factories that can be rapidly reconfigured as products change.
At the core of CynLr lies a fundamentally current approach to machine vision. Unlike conventional vision systems that rely on image recognition and heuristics,



CynLr’ s Vision and ML stacks are deeply inspired by neuroscience, modelling how biological vision understands shape, geometry, and interaction rather than appearance alone. To support this, CynLr builds its hardware, sensors, compute pipelines, and learning stacks from scratch, tightly coupling perception, decision-making, and action.
This integration allows CynLr to operate in conditions that defeat traditional automation: variable lighting, cluttered environments, unknown objects, and high precision manipulation, unlocking automation use cases that have remained unsolved for decades. By rethinking vision as an intelligent, adaptive sense rather than a static tool, CynLr is redefining how robots perceive, reason, and interact with the physical world.

About the Role:
Product Design begins as a hypothetical concept. Transforming that concept into a functional Product is a highly creative and experimental process that requires a strong understanding

📌 Embedded System (Bengaluru)
🏢 CynLr
📍 Bengaluru