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Development

Development for industrial data and AI applications

We develop applications for machine data integration, IIoT data analysis and AI in production. With Apache StreamPipes as an open foundation, individual solutions are created much more efficiently and economically than with proprietary new approaches.

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Range of services

Development services

We develop individual solutions for manufacturing companies and machine manufacturers, from data connection to the finished application. A particular focus is on development services relating to Apache StreamPipes.

Integration

Machine data integration and data access

We develop connections for machines, control systems and other data sources and create reliable data flows between OT and IT.

  • Connection of PLC, sensor and store floor data
  • Integration with existing IT and cloud systems
  • Development of stable data models and interfaces
Machine data integration

Analysis

IIoT data analysis and specialist applications

Based on the integrated data, we develop applications for transparency, process analysis, quality evaluation and operational decision support.

  • Dashboards and analysis interfaces for different target groups
  • Evaluations for production, quality and maintenance
  • Specialist applications for continuous improvement
IIoT data analysis

AI

AI applications for production environments

We develop data-based AI applications if a reliable professional and technical basis is available, for example for assistance, automation or context-related evaluation.

  • Embedding AI in existing data and application landscapes
  • Implementation of assistance and evaluation functions
  • Consideration of operation, governance and expandability
AI applications in production

Fields of application

Typical development topics

Our development services cover the implementation of central data-based applications in industrial environments.

01

Machine data integration

Development of connections for control systems, sensors, edge systems and enterprise applications.

02

IIoT data analyses

Implementation of analysis applications for transparency, root cause analysis and process improvement in manufacturing companies.

03

AI applications for production

Development of data-based AI applications, for example for assistance systems, predictions or the automatic evaluation of production context.

04

Applications for machine manufacturers

Individual data and service applications for machine manufacturers, for example for monitoring, diagnostics or additional digital services.

05

Apache StreamPipes development

Extensions, integrations and individual applications based on Apache StreamPipes, implemented by initiators and main developers of the project.

Typical implementation framework

We structure development projects in comprehensible steps so that requirements are quickly turned into a resilient and operable solution.

01Analysis

Record requirements and system landscape

At the beginning, we clarify the target image, data sources, interfaces, operating framework and technical boundary conditions.

02Concept

Define architecture and solution modules

Based on this, we define data flows, components, integrations and the appropriate technologies for implementation.

03Implementation

Implement and transfer application

In the final step, we develop the application, integrate it into the existing environment and support testing, commissioning and handover.

Technology portfolio

A broad technology portfolio enables us to efficiently implement individual applications on an open source-based stack. With Apache StreamPipes in particular, machine data-based applications can be developed much more cost-effectively than with comparable proprietary approaches.

Open source foundation

Apache StreamPipesIndustrial data integration and low-code analytics

Industrial integration

OPC UAControl and machine data
MQTT & NATSLightweight messaging
REST APIsIntegration into IT systems
Siemens S7Controls

Application development

AngularWeb interfaces and portals
TypeScriptFrontend and backend development
JavaBackend and integration services
PythonAnalytics and AI components

Operation and infrastructure

DockerContainerized provision
KubernetesScalable operation
PostgreSQLPersistence and metadata
Cloud & On-PremFlexible target environments
Apache StreamPipes

Apache StreamPipes as a development advantage

Bytefabrik is the initiator and main developer of Apache StreamPipes. This makes us the right partner for development services on this stack and enables us to implement company-specific applications for machine data much more efficiently and cost-effectively than providers who first have to build their own foundations.

01

Implement directly with the main developers

We know the architecture, extension points and operating model of Apache StreamPipes in detail and can therefore translate requirements directly into a reliable solution.

02

Developing customized applications economically

Instead of repeatedly rebuilding the machine data platform, integrations and analysis bases, we expand an existing stack to include specialist logic, interfaces and project-specific functions.

03

Stay open and still deliver productively

The solution remains comprehensible, expandable and can be operated in the long term without adopting the cost and dependency structure of proprietary complete approaches.

Demo

Experience Bytefabrik live

Arrange a demo to get to know the platform, analysis and AI functions based on your questions.

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