CynLr Tech Stack

Visual object intelligence platform for industrial robotic manipulation

Robotics Engineering Lausanne, Vaud 51–200 employees Founded 2019 Privately Held

CynLr builds computer vision and machine learning systems that enable industrial robotic arms to identify and manipulate unstructured objects in factory environments. The tech stack is hardware-forward (CUDA, NVIDIA Nsight, FPGA, ARM, x86) coupled with Azure cloud services, reflecting a company balancing on-device inference with centralized data pipelines. Engineering dominates the org (19 of 24 roles), with hiring accelerating in Switzerland and India — the pain-point list (rigid fixture dependency, factory customization complexity, lead-time risks across geographies) signals they're solving the last-mile problem in industrial automation: teaching robots to handle variability.

Tech Stack 23 technologies

Core StackAzure DevOps Active Directory Intune C++ Visual Studio Microsoft 365 Teams OneDrive Azure SharePoint CUDA PCIe C NVIDIA Nsight Compute DirectX USB BIOS UEFI BootLoader x86 ARM FPGA

What CynLr Is Building

◆Challenges

Heavy customization of factory environments
Context-switching costs
Pre-training or environment customization
Lead times and risks across geographies
Eliminating hidden delays
Rigid fixture dependency
Complex factories needing heavy customization
Robots that fit screw into nut
Lack of robots for unknown objects
Factory customization complexity

▲Active Projects

Robotic arm design
Pipelined image processing framework
Process and it practice design
Vision system integration
Visual pathway of the brain
Azure sharepoint policy management
Gpu optimization of neural networks
Designing supply chain strategies for rapid experimentation and production readiness
Building ecosystem for scalable deployment of visual robots
Vision algorithm & learning sw stack performance optimization

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Engineering

Executive

Logistics

Operations

Ops

Seniority

Mid

Senior

Lead

Manager

Notable leadership hires: Technology Sourcing Lead

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About CynLr

CynLr develops a visual object intelligence platform that gives industrial robotic arms the ability to perceive, reason about, and grasp objects in unstructured factory settings. Founded in 2019 and based in Lausanne, Switzerland, the company operates across 51–200 employees with engineering-heavy focus. Their product stack spans robotic arm design, pipelined image processing, GPU-optimized neural networks, and vision algorithm training — all aimed at reducing the customization burden factories face when deploying robots. Active projects include vision system integration, neural network performance optimization, and ecosystem design for scalable robot deployment across production environments.

HeadquartersLausanne, Vaud

Company Size51–200 employees

Founded2019

Hiring MarketsIndia, Switzerland

Frequently Asked Questions

What is CynLr's tech stack?

CynLr uses Microsoft 365, Azure, Azure DevOps, and SharePoint for infrastructure; CUDA, NVIDIA Nsight Compute, and GPU optimization for AI compute; C, C++, Visual Studio for core development; and hardware layers including ARM, x86, FPGA, and PCIe.

What challenges does CynLr solve?

CynLr addresses rigid fixture dependency, factory customization complexity, and the lack of robots capable of handling unknown or random objects in unstructured environments — reducing the pre-training and environment customization burden on manufacturers.