Do you want powerful,
but easy-to-operate data analytics?
International companies choose us because our AI solutions have proven for years 24/7 in operations.
Self-learning, explainable AI helping industrial companies predict failures, optimize quality, and reduce costs.
Want to know more about our references?
Predictive Maintenance
Data Center
- Thousands of devices connected
- 98% accuracy
- No false positive
Quality in production
Automotive supplier
20% faster in finding errors
Predictive Maintenance
German Rail
90% of costs avoidable
Renewable energy
Energy Utility
Innovative analytics approach enables future-oriented solutions
Quality in production
Building material
Out of over 5,000 influences, ca. 20 parameters discovered which have negative effects on quality
Predictive Maintenance
Data Center
- Thousands of devices connected
- 98% accuracy
- No false positive
Energy
Automotive
Optimizing plant operation and energy trading
Explainable AI
Understand every prediction and decision.
No dependency on Data Scientists
AI adapts automatically.
Scalable & Real-Time
Works with streaming and historical data.
Artificial Intelligence: Yes! But no Dependencies on Data Scientists!
You can reach a lot with Artificial Intelligence (AI). But which follow up costs will occur to adapt your AI solution to changed processes?
One thing is clear: Data Scientists are rare and expensive. Therefore, our self-learning and explainable AI standard software PREDICTIVE INTELLIGENCE is automating some time-consuming tasks which Data Scientists execute, normally.
On the one hand, this reduces implementation costs for your AI solution and on the other hand, also your operating costs. How does this work? Our self-learning algorithms, which have been awarded many times, represent the core of our standard software PREDICTIVE INTELLIGENCE.
In this way, your AI solutions get scalable and can be used over years, without hidden follow up costs.
Maturity Model for IT Analysis
With self-learning predictive AI analytics, IT analysis has reached highest maturity level.
PREDICTIVE INTELLIGENCE
Unsuspected Possibilities with Self-Learning and Explainable Artificial Intelligence (AI)
On the one hand, nowadays, companies are exposed much more to cost pressure, quality requirements, unpredictability and increasing process complexity. On the other hand, companies have more and more data available from their processes, machines and resource operations.
However, availability of (big) data does not yet realize efficiency increases, hoped for – only smart data discover inefficiencies and disturbing factors in both, business and technical processes.
Predictive Analytics and Control:
Scalable, Self-learning, Un-supervised and Explainable.
PREDICTIVE INTELLIGENCE is an unsupervised self-learning and explainable AI standard software. Even in complex processes and dynamic data structures, you get foresighted recommendations for daily operations. Machine to machine communication allows direct process and machinery control – with proven efficiency increase. Dynamic simulation methods discover hidden optimization potentials. Disturbing factors are discovered early. In this way, you avoid inefficiencies before they occur!
In contrast to other AI approaches (i.e. Deep Learning), PREDICTIVE INTELLIGENCE gives transparency which factors influence your processes in a positive or negative way. Thus, you can sustainably improve your processes.
Our solutions, which have been granted with various innovation awards, increase efficiency of humans, machineries, materials as well as energy.
Solutions
Generate a reliable situation map.
Automate flight planning and flight execution.
Discover interwoven disturbing factors and hidden machine anomalies.
Control machinery in a predictive way (machine-to-machine control or as recommendation for machine operators).
Discover reasons for wear and tear.
Recommend action for machine maintenance and machine control.
Discover disturbing factors for energy efficiency.
Automate energy trading in a predictive way.
More precise energy purchase and sale, also for renewable energy.
Predictively automated energy trading.
Discover factors affecting sales.
Enable client-specific advertising.
Reduce return shipment.
Recommend optimal prices.