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Industrial 4.0
Intelligence
Systems

Data-driven solutions for modern factories

We are an engineering and technology company that creates intelligent industrial software and delivers complete implementations.
Our systems transform real data from machines and measurements into better decisions and improved business efficiency.


 

Built with open BI tools:
Grafana · Metabase · Power BI
powered by our
InDriver Integration & Analytics Engine.

Game changer for industry & business.
10× faster integration · 10× cheaper to scale 
· 
100× more impactful results

Industrial BI
medalIndustryWeek_edited.jpg
🏅 Industry Week Fair Medal 2025
— Quality & Innovation
 

Selected from 550 exhibitors
as a premiere industrial solution.

What we do

Automate Data Integration

Industrial applications.
Re-engineered with InDriver.

Industries we deliver the most value to

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Real challenges we solve for our Customers

  • Anomaly Detection
     
  • Asset Optimization and Monitoring
     
  • Batch Optimization
     
  • Cleaning in Place Tracking
     
  • Continuous Process Improvement
     
  • Cost Reduction
     
  • Downtime Reduction
     
  • Emission Tracking
     
  • Energy Management
     
  • Golden Batch 
  • Increase Yield
     
  • Line Balancing 
     
  • OEE Tracking 
     
  • Predictive Maintenance
     
  • Process Optimization 
     
  • Product Quality Monitoring
     
  • Production Reporting
     
  • Quality Optimization 
     
  • Raw Material Reduction
     
  • Waste Reduction

InDriver Analytics Engine Architecture

InDriver is a lightweight industrial data engine for data acquisition, processing, and analytics in industrial and business environments.

It combines:

  • data connectivity,

  • automation runtime,

  • and analytics execution
    into a single, unified system.

 

Engineers configure data sources and logic in InStudio, while InDriver Runtime executes analytics continuously or on schedule.

 

InDriver connects to:

  • industrial protocols (OPC UA, Modbus, Serial, Socket, and more),

  • SQL databases,

  • REST APIs,

  • and data files (PDF, CSV, JSON, XML).

 

It runs real-time analytics algorithms
for aggregation, anomaly detection, forecasting, reporting, and delivers results directly to BI tools or enterprise systems.

 

Fast to deploy. Easy to scale.

Built for engineers.

InDriver platform architecture schema

InStudio - Integrated Development Environment

New InStudio UX!  We’re excited to announce that InStudio has a fresh look that is designed for today’s engineers and developers. The modern interface, inspired by QtCreator, VS Code, and JetBrains, makes building and managing InDriver systems easier. Updated controls and a redesigned status bar enhance the experience of working with data, devices, and automation.

InStudio GUI

Open BI tools

We adapt the most popular
free or low-cost BI tools to industrial requirements.
e or low-cost BI tools

Case Studies

Heat and Gas Analytics for Boilers in Aluminum Systems Production

Industry: Aluminum Systems Manufacturing

Technology: Advanced Data Analytics with InDriver

Results: Improved efficiency, reduced energy waste, and enhanced process control.

​​

The System is analysing the heat and gas consumption of industrial boilers powering the painting process in an aluminum systems production facility. The solution provides real-time insights, enables anomaly detection, and optimizes energy usage, reducing costs and improving sustainability.

Gas Meter Dashboart Grafana
Boilers Power Output
Energy Consumption Analytics Grafana Dashboard powered by data and insights from InDriver

Demo

Energy Analytics Dashboard in Grafana
OPC UA Integration

Connect to OPC Server UA (KepServerEx), browse and read nodes.

REST API Integration

A system that reads weather data from Krakow, Poland, every minute using the REST API protocol and saves it in the Microsoft Azure for PostgreSQL database in the JSON format.

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Need a custom solution?
Let our experts design a tailored system for your needs.

Developers & Integrators:
Download InDriver and start building your data automation system.

Thanks a lot.

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