The company
Bytefabrik is committed to data-driven manufacturing. As a software partner to the industry, we understand manufacturing processes and help implement smart solutions that make our customers more competitive.
We combine genuine openness with an understanding of production and first-class support—from the pilot phase through to global rollout.
Bytefabrik develops software to make machine data usable. The company focuses on AI-powered solutions for manufacturing companies, machine manufacturers, and logistics companies.
The company was founded by the initiators and current lead developers of Apache StreamPipes. This background continues to shape its focus on open architectures, extensibility, and data sovereignty to this day.
We understand that every production process is unique. Our focus is not on the software itself, but on providing a customized solution for our customers. We offer software and consulting services all under one roof and are always available.
Origin and classification
As a spin-off from a research institution, innovation is our passion.
With a robust open-source foundation that we’ve been developing ourselves for over 10 years, we take data sovereignty seriously.
Bytefabrik emerged from the open-source project to provide professional support to our users and customers around the world.
Mode of operation
We don't just see ourselves as a software developer. We work with our customers to find the best solution. We offer reusable and cost-effective building blocks, but we also develop customized solutions on a contract basis when needed.
This results in either product-related introductions around IoT Data Hub and Manufacturing Insights or individual extensions, for example for machine data integration, analysis applications or AI workflows.
A recurring theme here is data sovereignty: open interfaces, open source, and controlled operating models are not just secondary considerations for Bytefabrik, but an integral part of our company.
Collaboration often begins with a classification of the existing database, an architectural or application question and a clearly defined operational use case.
