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The company

Software for industrial data, analysis and AI

Bytefabrik develops open platform and analysis modules with which manufacturing companies and machine manufacturers can record and evaluate machine data in a structured manner and make it usable for operational improvements and AI functions.

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What Bytefabrik stands for

The company combines product development, open source origin and production proximity in a common platform logic.

01

Industrial data as a working basis

Bytefabrik develops software for collecting, structuring and analyzing machine data. The focus is on platform, analysis functions and AI modules for manufacturing companies and machine manufacturers.

02

Open source and open interfaces

The company was founded by the initiators and current main developers of Apache StreamPipes. This origin has shaped the focus on open architectures, extensibility and data sovereignty to this day.

03

Product development close to real production issues

Bytefabrik does not align software with abstract dashboard patterns, but with concrete issues from production, quality, maintenance and engineering.

Origin and classification

How Bytefabrik came about

Bytefabrik emerged from research into industrial data processing and stream analytics. The founders were among the initiators of Apache StreamPipes, an open source project for industrial data pipelines and real-time processing.

This technical basis has given rise to a company that develops platforms, standard modules and individual extensions for real production environments. The products are therefore designed for open interfaces, on-premise and private cloud operation and long-term expandability.

Open Source

Technical focus

Open IIoT platforms, industrial analysis applications and AI functions based on controllable data and operating models.

Mode of operation

How Bytefabrik works with customers

Bytefabrik works at the interface between platform development, product development and technical analysis. Projects are usually not just about individual screens, but about data access, context model, operability and specific improvement or analysis issues.

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 a secondary condition for Bytefabrik, but part of the product and architecture decision.

Context

Typical collaboration

Collaboration often begins with a classification of the existing database, an architectural or application question and a clearly defined operational use case.Request a call

Management team

Contact for product, technology and collaboration