CynLr Unveils Object Intelligence Platform to Make Robots Learn and Adapt Like a Human Baby

Building the missing piece in Robotics to make robots learn and adapt on the fly – without retraining

Bengaluru, India | February 12, 2026, CynLr, a Bengaluru-based deep tech company, after  five years of intense R&D, today unveiled its Object Intelligence (OI) Platform, which enables  robots to learn and adapt on-the-fly – much like a human baby. CynLr’s OI-enabled robots – CyRo, CyNoid, and Mantroid – can interact even with unknown objects, the very challenge  where today’s humanoids struggle. The Platform is form-factor agnostic and can power  industrial robotic arms, multi-arm systems or humanoid robots. This is the first commercial ready Object Intelligence platform to emerge from India. The company’s recent neuroscience linked research collaboration with the Indian Institute of Science (IISc), helps in building robotic  systems that function closer to brain-like perception and adaptation.

At the core of the platform is on-the-fly learning, the ability for robots to learn to pick  completely unknown objects usually within just 10 to 15 seconds as against months that current  Physical Intelligence methods take. Since robots become intuitive & adaptive this ability  drastically reduces the need for extensive training data and there by data centres. At the crux of  CynLr’s perception platform is CLX, an OI-enabled Vision System. CLX can instantly perceive  an unseen object and deconstruct the object as a “recipe” of geometry, texture, reflectance and  grasp possibilities in real time and triggers an intuition for the robot to learn how to manipulate it  experimentally. Handling objects that are transparent, reflective or irregular in shape, such as a  glass bottle wrapped in plastic cover to almost every daily-use item to even metallic car parts &  electronics – is one of the biggest challenges in physical intelligence today. CynLr’s robots  intuitively learns to handle these objects, unlocking the holy grail of Robotics & Intelligence.

“The last fifty years of robotics were about controlled environments. Programming every  movement, every condition, every exception. We built machines that could repeat but not  respond. That could execute but not adapt. That era is ending. The next fifty years will be about  cognition. Machines that observe, reason and adapt. Machines that do not need to be told what  to do because they understand what needs to be done. This is what finally makes robotics  useful in the real world, where nothing stays the same twice. The end goal is what we call the  “Universal Factory”. A Software-defined manufacturing floor where the same machines can  switch between products just by changing the SW and without retooling. A single line can  handle a thousand SKUs, where factories become as flexible as the markets they serve. That is  the shift we have been building towards. Object Intelligence is where it begins.” said Gokul NA,  Founder, CynLr.

While most physical AI solutions remain confined to controlled lab experiments, CynLr’s  fundamental tech is maturing from lab to pilot deployments, with global manufacturing  companies already assessing the system for real-world operations. CynLr currently has the  world’s leading Luxury Auto Brands and Semiconductor Automation companies as its  customers. CynLr’s tech and products will be deployed for assembling parts on assembly lines  and maintenance tasks in Semiconductor Fab Labs.

For deployment, CynLr’s OI platform makes switching between already trained tasks instantaneous and tasks within the same setup requiring calibration can typically be configured  within an hour. Training an entirely new task from scratch ranges from one week to three  months, depending on complexity. Importantly, in many factory-floor applications, such as  complex assembly, traditional automation does not yet exist, meaning Object Intelligence is not  just optimizing retraining time but enabling automation where it was previously infeasible.

Unlike conventional systems built on pre-programmed routines, CynLr enables continuous  learning through interaction: every grasp is a learning event, every failure trigger recalibration,  and the next attempt improves in real time. Built since 2019 and inspired by biological  sensorimotor learning, this closed-loop approach allows robots to handle novel objects without  offline retraining.

“The bottleneck for physical intelligence today is sensing. Every AI system built today uses  senses to act. But human beings act to sense – you pick up a coin and tilt it so you can see  better. You don’t create massive datasets of hard-to-see coins and train on them. Robots need  their own eyes, touch and feel to learn and map the world. This requires Vision Force Models,  not Vision Language Models. VLMs rely on human-generated data – robots struggle to interpret  the world through cell phone cameras and human words. That’s like a blind man talking about  rainbows. For a dynamic system, sensing needs to be dynamic too. That’s what Object  Intelligence enables.” added Nikhil, Founder- GTM, CynLr.

Currently the company has two main products: Cyro and CyNoid. They will soon release an  open hardware platform called Mantroid. This system is a “sandbox platform” that will  liberate customers from fixed Humanoid form factors and allow them to custom build robot form  factors tailored to their specific needs.

CynLr is actively pursuing its next round of funding to scale production capacity with a goal of  producing one robot per day by 2028, while strengthening its global supply chain.

The company will release technical demonstrations showing how the system perceives and  adapts to new environments in real time, including visualisations of neural activations and  learning behaviour across grasp attempts. The establishment of CynLr’s Swiss R&D entity and  US business development centre reflects its commitment to scaling Object Intelligence  technology for global markets.