AI. Innovation. Everything in between.

Machine learning models recognize recurring patterns in fault reports and initiate measures early on before a network failure occurs.

Data-driven trial design through AI evaluation of preclinical data, population histories or study registers.

AI-supported planned tours taking into account traffic, weather, vehicle data and customer windows.

Optimized feed-in control through AI-based modelling of wind, solar and storage capacities based on weather and real-time data.

Distinctive behavior of individuals can be automatically identified.

Live video surveillance footage can be analyzed in real time to identify predefined “suspicious” behavior. When something is discovered, shop owners are alerted via a connected app.

AI detects violent actions such as hitting, kicking, shooting and stabbing in crowds via drone or camera vision. In this way, clashes or sources of fire are found that emergency services on the ground overlook.

By analyzing public traffic cameras and traffic light data, traffic can be better controlled. Live traffic forecasts and recommendations can be created using data mining, video and image recognition, and other techniques.

A chatbot can answer many questions and help users keep an eye on their finances. From past user behavior, it is also possible to learn which offers specific user groups are particularly appealing to. Individual offers can be created for each customer using robo-advice.

Alexa is not the only one that is smart. With natural language processing, vacuum cleaners, hotlines or industrial devices can be made “smart” and respond to user commands. This is no longer a future scenario, but can be implemented today.

Use neural networks to detect copyright infringement of photos and documents on the Internet.

Data labeling is necessary but time-consuming. With intelligent human-in-the-loop systems such as Labelworld, the labeling of data can be accelerated many times over.

Use videos, images, or robots on the sales floor to check and analyze your shelf space usage. Identify and manage shortages or sub-optimal use of shelf space.

Analyzing chronic conditions using laboratory data and other medical data to enable early diagnosis

Advanced medical imaging to highlight potentially harmful areas and model potential situations.

Use AI to better analyze the effectiveness of drugs and medical devices

Tracking media activity provides insights into PR efforts. This makes it possible to highlight what drives engagement, traffic and revenue.

Advanced analytics of all sales call data to uncover insights to improve sales effectiveness

Let working, intelligent, self-improving bots make initial connections with leads 24/7. High-quality, responsive leads are called by live agents and increase sales effectiveness.

Bots listen to calls from salespeople and suggest best practice answers or the best next steps to improve sales effectiveness.

Intelligent allocation of shipment requirements. Based on a customer's needs and location, the best warehouse is selected for shipping.