What makes us different from our competitors?

Simply juggling technologies out of the hat is of course not enough to reach customers and target groups efficiently.

For us, "Think Concept First" means carefully analysing business models, target groups and processes and, based on these results, developing a relevant strategy for your product with them.

First of all, we think far ahead for you - and then implement your product with the help of the latest cuting edge technologies. 



Entwicklung von Individualsoftware ermöglicht Unternehmen Vorteile im Wettbewerb zu nutzen oder zu erzeugen.

Ein wichtiger Pfeiler im Unternehmenserfolg beruht auf der Fähigkeit, sich vom Wettbewerb durch individuellen Service abzuheben. 

Dabei sind zwei wichtige Ansätze zu unterscheiden:
Was wir in den letzten Jahren beobachtet haben bewegt sich rund um die Automatisierung bestehende Prozesse. Diese Aufgaben beginnen bei der Digitalisierung der Administration und endet bei der Digitalisierung von Produktionsprozessen.
Der zweite Ansatz beschäftigt sich mit Services, die ohne Digitalisierung gar nicht erst möglich wären. Hier geht es nicht die Optimierung bestehender Prozesse, die mehr oder weniger effizient auch durch Menschen erledigt werden könnten, sondern um die Entwicklung gänzlich neuer Anwendungen die ohne die Unterstützung von Computern nicht denkbar oder umsetzbar wären. 

Der Hype um Künstliche Intelligenz, Maschine Learning und Neuronale Netzte der letzten zwei Jahre  hat schlagartig gezeigt, das eine bislang Menschen vorbehaltene Anzahl kognitiver Fähigkeiten durch Computer simuliert werden können. Diese technologischen Möglichkeiten eröffnen neue Geschäftsmodelle, Produkte oder Produkteigenschaften. 

Development of individual software based on good ideas

We at jkaref believe that the current framing of Artificial Intelligence in the media is an major contribution to agenda-setting. The topic is being discussed and in one way or another dominates the current discussion about digitization. 
Companies that want to understand how the potential of these technologies can be harnessed need consulting whose understanding begins with the customer's needs and can then assess what is technically practicable.


The video shows a simple example of an application that evaluates the recordings of a surveillance camera in order to identify people and objects. People, tables and chairs are detected. Lamps are linked to each person in the room. These lamps are switched on when the person moves. A task that would have been very difficult to solve with conventional movement-detectors. 

Business Case Energy Saving

What the viewer cannot see on the moody video is the connection to LCN (Local Control Network), the building management system of Issendorf from Hanover. The behaviour of the users recorded by the camera has a direct influence on the actions in building management. The LCN system can gather the following sensor data:

  • Lighting conditions
  • Temperature
  • CO2 indoor air quality
  • Motion detector
  • Weather data, wind speed, rainfall, temperature
  • Electrical actuators can be used to switch electrical equipment directly.  

Machine learning on the basis of image recognition (video data), control actuators and sensor data can reduce the energy consumption of a building by systematically obtaining data from the (apparently unpredictable) user behaviour and using them to suggest savings.

Energy optimisation is a challenge for the commercial industry. The potential of machine learning for energy optimization was recognized by Google several years ago. 

In these surroundings, the multitude of possible device combinations and their target values make it difficult for planners and operators to determine where the optimum efficiency of a facility lies.
In an ongoing production process, it is difficult to establish the optimum mechanical and electrical equipment and software and their control strategies and setpoints due to the many possible combinations of a facility. Testing each individual combination of characteristics in order to maximise efficiency is impractical.