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Industry 4.0: The different but particularly collaborative devices’ integrated operation could be realized in a huge system controlled by AI, which can handle simultaneously the past’s heritage, the present’s urgency and the future’s uncertainty for the agile mass customization on the whole value chain. From an IT perspective this needs an IoT platform for the integration and the fast and smart processing. That’s what REACH offers. We combine state-of-the-art Fog computing, Big Data technologies and Machine Learning to help our customers realize the Smart Factory transition and create a digital twin of their production plants.



We proudly announce the category and overall win of the REACH Solutions – MaxWhere joint team on the Industry 4.0 Hackathon, which took place in Linz last November. The Pioneers I-4.0 hackathon is one of the most prestigious among engineering competitions across Europe. The challenge was to create a 3D Digital Twin of a logistics robot and conveyor system, control the model with the provided data and show the log information in real time. We took the TGW Logistics category and the overall win ahead of nearly 20 startups and teams, providing a “spectacular and informative” 3D VR show and a fully functional architecture. With the help of our solution, TGW Logistics is now able to rapidly back-track errors in the automated warehouse systems, letting engineers do troubleshooting even from distant locations.”

About our philosophy


Collect and store data from any source, structured or unstructured, in batch or real-time. Built-in pre-defined industry specific data models to use ingested data in dynamic attributes that are scored, calculated and updated in real-time.

LEARN Faster

Turn data into actionable insights by giving the tools required to monitor production process in real-time, and to intervene when maintenance requirements or efficiency improvement opportunities arise. REACH orchestrates seamless, compelling event-based actions across both physical and digital channels.


M2H and M2M communication and interactions. Right data, right action, right time, right channel, right format. All, but no more. More effective operation, improved HSE (Health, Safety, Environment) with less human resource usage.

Real-time Event-based Analytics and Collaboration Hub

The IoT already exists, but its constituent devices are yet to be united. The IoT Platform is the key for the development of scalable IoT applications and services that connect the real and virtual worlds between objects, systems and people. Our IoT platform (named REACH as abbrevation of Real-time Event-based Analytics and Collaboration Hub) could be the backbone of any IoT deployments as a unifying platform to collect, organize, and activate your data from any source. REACH not only collects and organizes data, but makes it available to other to be used for targeted executing, performance customization, and beyond. Our integrated solution offers:

Connectivity: agents that ensure constant object connectivity and harmonized data formats.

Data management platform to collect, organize, and activate data in reliable, scalable, distributed computing and data storage framework.

Processing and action management: rule engine that allows for real-time actions based on incoming sensor & device data.

Machine learning and analytics: algorithms for advanced calculations and executions, with built-in modules to combine SQL and streaming data processing.

External interfaces: APIs, SDKs and gateways that act as interfaces for 3rd party systems.

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Typical Use Cases

Real-time data analysis and alerting

REACH ties multiple data sources from across machines, systems, and sensors together into a single platform with ease. With pre-built data connectors, data correlation from multiple streaming data sources happens in real time - log files, sensor data, machine feedback, historical data from databases, social feeds, and more.
The platform leverages historical static data to inform norms and context, while using streaming data to identify anomalies in real time and can automatically alert when any indicator is outside the tolerance.

Continuous takt time monitoring

Takt time is the average time between the start of production of one unit and the start of production of the next unit, when these production starts are set to match the rate of customer demand.
Once up and running, takt time is very easy to measure. Manufacturers operating lean production lines can use this tool to ensure as much "waste" is removed from the process as possible -i.e. minimising the takt time - and monitor performance very closely. One of the main benefits takt time offers is increased visibility for production line operatives and their supervisors.

Real-time OEE calculation and visualization

OEE breaks the performance of a manufacturing unit into three separate but measurable components: Availability, Performance, and Quality. Each component points to an aspect of the process that can be targeted for improvement. OEE is calculated with the formula (Availability)*(Performance)*(Quality).
Real-time automated data is essential if you want to unlock to the full benefit from OEE. Measure and display OEE so that operators can see it in real time. Measure the OEE for each product being packaged on a particular line, and use the results to compare what lines perform better than others for certain products.

Predictive Maintenance

Predictive Maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.
This results in a reduction in unplanned downtime costs because of failure, where for instance costs can reach hundreds of thousands of dollars per day depending on industry.

Quality Assurance

A general rule of thumb is that costs of poor quality even in a thriving company will be about 10 to 15 percent of operations. REACH® offers opportunity to make significant improvements in this space.
Monitoring the whole manufacturing process – add value to your products Collecting data from each step and domain of your manufacturing helps identifying the root cause of quality issues. This data – digital content of a product of any kind – also adds value to your products.
Quality early warning systems Predict early indications of deviations from the standard process and potential excursions.

Location tracking

Real-time tracking of assets (including raw materials, industrial machinery, fleets of trucks, containers, final products, etc.) enables businesses to be well informed about device and equipment status and performance. This improved intelligence can be used to more effectively prevent quality issues, maintain inventory levels and safety standards, optimize logistics, and detect theft. However, real-time visibility has been a consistent challenge for asset-intensive companies. It can be solved via sensors and low-cost connected devices that can be embedded into virtually anything, making real-time asset tracking possible.

Custom analytics

REACH custom analytics enables you to drill down into fine details and discover correlations you wouldn’t see otherwise. With this feature you can create custom dashboards, visualizations , reports from your factory data, which helps you make better decisions. It also makes easier to discover and understand problems, malfunctions from your processes.

Digital Twin

Digital twin is a dynamic digital representation of an industrial asset, that enables companies to better understand and predict the performance of their machines and find new revenue streams, and change the way their business operates. The digital representation provides both the elements and the dynamics of how an Internet of Things device operates and lives throughout its life cycle. A digital twin can be defined, fundamentally, as an evolving digital profile of the historical and current behavior of a physical object or process that helps optimize business performance. The digital twin is based on massive, cumulative, real-time, real-world data measurements across an array of dimensions.

Unique solutions

Our technology stack consist of state-of-the-art, future proof technologies, based on three pillars:

The heart of the solution is the most up-to-date computer technology, capable of processing complex events in real time.

The distributed computing framework makes scaling flexible and easy, and adjusts to any performance requirement.

Machine Learning is key to make production more efficient and helps making better manufacturing and business decisions.

Are you ready to take your business to the next level?

Let’s make a PoC.

Proof of Concept

Why start with a Proof of Concept (PoC)? 

Prove feasibility of a solution with selected components.
Agile approach: pick low hanging fruits (e.g. 3 relevant use-cases).
Short time to value, simplified budgeting (only OPEX).

REACH PoC features:

Non-invasive approach: production remains 100% undisturbed

No hardware investment necessary

Scalable, fast deployable, cost effective


25+ years

Software development

10+ years

IoT and Industry

5+ years

Big Data development

3+ years

Machine Learning

Key Players

Zoltán Beke


Richárd Tunkel

Co-founder, CTO

Gergely Szalai

Head of Architecture and Development

Balázs Bojkó

Industry Analytics Expert

Gábor Ertelt

Support & Partner Manager

Balázs Német

Data Scientist

Tamás Kulcsár

Big Data Developer


reach i4 platform fog computing edge computing distributed iot industry digital twin
  • February 10th, 2018

Fog computing

In this context, „Fog” means that „Cloud” moves down, closer to the ground, to the machines, sensors and legacy systems.

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reach i4 platform fog computing edge computing distributed iot industry digital twin
  • March 10th, 2018

EDGE vs FOG vs Cloud

Now it is time to make a comparison between Edge, Fog and Cloud computing.

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  • April 10th, 2018

Complex event processing

Processing complex events in real time is key to derive business value from your factory data.

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  • May 10th, 2018

Data Lake

In this post we are going to show why is so important to have a data lake in the era of Industry 4.0

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  • June 10th, 2018

Hybrid architecture

What about my classic data? Should I transfer them to a data lake? Do I have to redesign all my application and process to use the new storage layer? All these will be answered in this blogpost.
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  • July 10th, 2018

Machine Learning

Well, you probably have heard the term Machine Learning many times. Follow the link to a brief explanation, how this technology works – constantly gaining popularity even in manufacturing process optimization.
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  • Aug 10th, 2018

IoT Gateways

Intelligent IoT gateways play an increasingly important role in IoT projects. But what are IoT Gateways? In our next techinal blog post we are going to tell you.
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reach i4 data lake machine learning complex event space complex event processing platform fog computing edge computing distributed iot industry digital twin
  • Sep 10th, 2018

The role of Industrial IoT

Do Preventive Maintenance, Predictive Maintenance and Prescriptive Maintenance ring a bell? Our technology can help you making production more efficient. But is your company ready? Read on to find out.
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reach i4 data security ldap kerberos tls iot industry digital twin
  • Oct 10th, 2018

Data security

We already showed you different approaches in the Industry 4.0 world to store, process and interpret data. Now it’s time to talk about securing your valuable data.
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reach i4 data assets value iot industry digital twin
  • Nov 10th, 2018

Data assets at a factory

In this post we will show you why an integrated IoT platform is the proper solution to turn data into real business benefits.
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  • Dec 10th, 2018

Digital Transformation 4.0

Digital Transformation covers how companies can upgrade their operations with technology. People like to use this term as something „revolutionary” and a brand-new approach.
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reach i4 projects methodologies
  • Jan 10th, 2019

Project methodologies for Industry 4.0

Want to create profitable Industry 4.0 projects? Use these methodologies!
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  • Feb 10th, 2019

Advanced document processing

A professional document management system is crucial for every organization. It provides the functions like document storage, document classification, access control, and collaboration. Nice, but is it enough?
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reach i4 document processing big data tools
  • Mar 10th, 2019

Application layer protocols

A true IoT platform without application layer is like a three legged dog. In this post we will show you some technologies and techniques.
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  • Apr 10th, 2019

Hidden value of diagnostic data

Continuous production, saving downtime, reduce scraps are all well sounding things, with help of the diagnostic data these features can be unlocked
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  • May 10th, 2019

The essential role of the Local Hero in IoT projects

During every IoT project there is a chance to achieve greatness. Are you ready to take the next step in your career path?
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reach i4 local hero iot cdr
  • June 10th, 2019

Innovation roulette tables from LP to OJSC

Without innovation there is no future! In this less tech post we will walk you around the importance of innovation.
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  • Sep 10th, 2019

Data processing

In the Big Data world, we collect data from the environment, and we would like to find a way to process it. In the following blog post, we will discuss the two main processing aspects.
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reach i4 factory gemba walking
  • Oct 10th, 2019

Gemba walking

Where the Real Work Happens. Gemba walk is an opportunity to capture topics and concerns related to how effectively your team is performing.
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reach i4 factory gemba walking
  • Nov 10th, 2019

The fundamental elements of IIoT device management

The Internet of Things (IoT) device installation is not a “fire and forget” scenario. Device Management is an essential part of IIOT era. How does it work?
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Junior Big Data Developer

Currently we are looking for Junior Big Data Developer to join our team. The ideal candidate is a open-minded person with strive for self-development who are keen on data science and eager to work with Big Data tools and frameworks, NoSQL databases and cutting-edge technologies and take part our exciting projects.

Senior Big Data Developer

Currently we are looking for Senior Big Data Developer to join our team. The ideal candidate will possess skills that make them a subject matter expert in several big data technologies and data science and take part our exciting projects.

Get in touch


+36 1 319 55 11



1138 Budapest, Dunavirág u. 2., I. torony 3. emelet (Gateway Office Park)

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