CynLr Unveils Object Intelligence Platform, Demonstrates Advanced Optical, Motion, and Force Sensing Innovations in Automotive Manufacturing

Bengaluru, India: In a major step forward for industrial robotics and adaptive automation, Bengaluru-based deep-tech company CynLr has introduced its Object Intelligence (OI) platform, designed to enable robots to learn, sense, and adapt to new objects much like humans. The announcement, supported by live demonstrations observed by the Global Business Line Team, highlighted breakthroughs in optical innovation, motion and force sensing, wire cable sensing, and precision assembly tasks including mirror fitting into car door panels used in vehicles.

The newly unveiled platform allows robots to interact with unfamiliar objects without prior training. Unlike traditional robotic systems that require pre-programmed routines and structured environments, CynLr’s technology enables real-time perception and learning, allowing machines to understand geometry, texture, and grip possibilities within seconds.

Optical Innovation Driving Perception

At the heart of the system is a powerful optical intelligence layer that allows robots to “see” and interpret objects in dynamic environments. This optical innovation enables the robotic system to detect shape, reflectance, and material properties even when handling complex or irregular components.

During demonstrations, the system successfully identified and manipulated multiple components in real-time without prior calibration. This capability is critical in manufacturing environments where variations in parts and positioning are common.

The platform’s vision system deconstructs an object into a “recipe” of physical attributes, allowing robots to decide how to grasp and manipulate it intuitively. This eliminates the need for large training datasets and repetitive reprogramming.

Force Sense Innovation

Another key breakthrough is CynLr’s motion and force sensing technology, which allows robots to respond dynamically during physical interaction. Each grasp, contact, and adjustment becomes a learning event. When resistance or failure is detected, the system recalibrates instantly, improving its next attempt.

This innovation was clearly demonstrated in precision tasks involving automotive assembly. The robots were able to handle components delicately while applying the correct force levels, ensuring accuracy and preventing damage to sensitive parts.

Such adaptive sensing is essential for tasks that require fine motor control, particularly in the automotive and electronics industries where precision is critical.

Wire Cable Sense Technology

The system also showcased advanced wire cable sensing capabilities — an area where traditional automation struggles due to the flexible and unpredictable nature of cables. CynLr’s robots were able to identify cable orientation, detect positioning, and manage handling without prior instruction.

This capability opens new possibilities in sectors like automotive wiring, electronics assembly, and semiconductor manufacturing, where cable management remains a complex manual task.

Precision Automotive Demonstration: Mirror Fitting in Car Door Panels

One of the most compelling demonstrations witnessed by the Global Business Line Team was the robotic fitting of side mirrors into car door panels. The robot was able to pick up the mirror unit, align it precisely, and mount it into the door panel structure.

This process involved multiple sensing layers:

• Optical sensing to identify alignment points
• Motion sensing to adjust positioning dynamically
• Force sensing to ensure correct pressure application
• Cable sensing to manage internal wiring connections

The demonstration highlighted how Object Intelligence can support complex assembly operations typically handled by skilled human technicians.

From Rigid Automation to Adaptive Factories

CynLr’s platform represents a shift from rigid, task-specific automation toward flexible, software-defined manufacturing. The company’s systems can switch between tasks within the same setup and can be configured for new tasks in hours instead of months.

The company’s core products — CyRo and CyVoid — power industrial robotic arms and multi-arm systems. A new open hardware platform called Mantriod is also in development, aimed at allowing companies to build custom robotic form factors suited to their production needs.

Unlike conventional robots that rely on static programming, CynLr’s closed-loop learning approach allows machines to improve continuously through interaction. Each success and failure refines the system’s understanding, enabling better performance over time without offline retraining.

Industry Impact and Future Vision

The technology is already moving from controlled lab environments to pilot deployments. Global luxury automotive manufacturers and semiconductor automation companies are evaluating the system for real-world operations, particularly in assembly and maintenance tasks.

CynLr’s long-term vision is to create “Universal Factories” — flexible manufacturing environments where the same machines can switch between products simply by updating software. This could dramatically reduce the need for specialized machinery and accelerate production cycles.

Founded in 2019 and headquartered in Bengaluru, CynLr has raised $15.2 million from investors including Pavestone Capital, Athera Venture Partners, Speciale Invest, and InfoEdge’s Redstart Labs. The company operates a design center in Switzerland, a development center in Bengaluru, and has recently expanded business development operations into the United States.

The company has also been recognized as a 2025 Technology Pioneer by the World Economic Forum.

With innovations spanning optical perception, motion and force intelligence, cable sensing, and complex automotive assembly, CynLr’s Object Intelligence platform is positioning itself as a foundational technology for the next era of robotics and smart manufacturing.