cellumation Tech Stack

Modular AI-driven conveyor systems for smart factories and logistics

Industrial Automation Bremen 51–200 employees Founded 2017 Privately Held

Cellumation builds intelligent material-handling hardware and software around the celluveyor—a hexagonal, multi-directional conveyor cell controlled by computer vision and machine learning. The tech stack reveals a hardware-first, embedded-systems mindset: C++, STM32, PROFINET, ROS/ROS 2, and OpenCV sit alongside TensorFlow/Keras for vision-based object recognition and sorting logic. Active projects in hybrid ML control and vision infrastructure show the company is moving beyond mechanical automation toward autonomous, vision-driven intralogistics—a shift that explains the engineering-heavy hiring (7 of 12 open roles) and the recurring pain around development-process optimization.

Tech Stack 28 technologies

Core StackJira Confluence C++ Linux Python TensorFlow GitLab EPLAN Electric P8 Microsoft Office SAP Business One STM32 CAN UART Ethernet PROFINET ROS Qt Git CI/CD Altium Designer EPLAN Siemens S7 TIA Portal ROS 2 OpenCV Keras GDB Visual Studio Code

What cellumation Is Building

◆Challenges

Budget planning and control
International procurement strategy development
Supplier relationship management
Component delivery challenges
Automation workflow optimization
Cost optimization of systems
Continuous product improvement
Continuous improvement of development processes
Optimizing machine operations
Reducing machine downtime

▲Active Projects

International procurement strategy development
Global sourcing channel development
Schaltplan automation
Schaltschrankbau
Product portfolio development
Customer project implementation
Celluveyor feature development
Vision infrastructure improvement
Celluveyor system hybrid machine learning control

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

Ops

Product

Research

Support

Seniority

Mid

Junior

Director

Intern

Lead

Senior

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About cellumation

Cellumation designs and manufactures modular conveyor systems that combine intelligent hardware, computer-vision-based object recognition, and AI-driven control for warehouses, factories, and e-commerce centers. Each hexagonal cell moves independently in any direction, enabling flexible, scalable material flow without mechanical conversion. Founded in 2017 as a spin-off from the Bremen Institute for Production and Logistics, the company operates from Bremen, Germany, with approximately 80 employees and recently established a US subsidiary (cellumation Inc.) in 2025 to expand North American market reach. Sales are tied to fast ROI claims around plug-and-play integration and minimal maintenance. Internal challenges center on international procurement, supplier stability, cost optimization, and accelerating product development velocity.

HeadquartersBremen

Company Size51–200 employees

Founded2017

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does cellumation use?

C++, Python, ROS/ROS 2, OpenCV, TensorFlow, Keras, STM32, Linux, PROFINET, Siemens S7, Git/GitLab, Jira, and hardware-design tools (Altium Designer, EPLAN, TIA Portal). Stack spans embedded control, computer vision, and ML inference.

What is cellumation working on?

Core projects: celluveyor feature development, hybrid machine-learning control systems, vision-infrastructure improvements, schaltplan (electrical schematic) automation, and product portfolio expansion. Also actively developing international procurement and global sourcing strategies.