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, there does not exist a robot that can fit a screw into a nut without slipping a thread.*
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 workplace.

CynLr enabled visual robots intuitively learn to handle even unknown objects on-the-fly – thus eliminating the need for customization and
*therefore are a universal alternative to custom machines*
.
*CynLr's vision is simplifying factory lines into modular LEGO blocks of micro-factories.*

Simplifying factories with robots that can pick & place any object has been a 40-year-old pipe dream - touted as
The Holy Grail of Robotics
.

About The Role:

At the core of CynLr lies a fundamentally new 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.

Technology sourcing at CynLr is
*not procurement.*
It is a
*decision-making role*
that s

📌 Technology Sourcing and Partnership Lead (Bengaluru)
🏢 CynLr
📍 Bengaluru