References
Siemens
Predictive Analytics Partner for Predictive Services
T-Systems
Predictive Quality Control
German Rail
Avoiding total damage thanks to predictive maintenance
EnBW: Full Potential For Renewable Energy Usage
Innovative analytics approach enables future-oriented solutions for renewable energy
BASF: Capacity Planning
Capacity Planning: 5 – 10 % Cost Reduction Potential
SAP
1st pure Predictive Analytics Partner in Germany
Bosch
Predictive Quality Analytics in Production
Opel
Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading
Knauf
Root Cause Discovery and Optimization for Quality Parameters in Production
ZF
Self-learning AI Improves Production Quality in Complex Variant Processing: 20% faster in error finding
Police
Discovering communication patterns in organized crime
EVO: Machinery Control / Simulation
Heat Recovery saves 25 % of Energy
NTT Facilities
Failure Prediction for Critical Air-conditioning System
LG: Predictive Heating/Cooling
Adaptive Hotel Solution to Minimize Energy Costs
RES-COM
Research project Industry 4.0
Dillinger Hütte
Energy Demand Analysis
Koehler Paper Group
Predictive Quality Analytics in Production
Stadtwerke Saarlouis: Renewable Energy Prediction
Flexible and Precise Predictions despite High Volatility
Bartz Werke
Reduction of Energy Resources in Casting
Bundesministerium für Bildung und Forschung
Research project Industry 4.0
Saarstahl
Logistics Optimization
Netzwerke Saarlouis: Gas Prediction
Twice as Precise than State of the Art Solution
Wittenstein
Predictive Maintenance
DFKI
Research project Industry 4.0
Hager Group
Predictive Building Control
DesigNetz
The Operating System for Energy Transition
Mobil saar
Research project Mobility 4.0
CyProS
Research project Industry 4.0
bpE
Process Analytics
Guided AB
Predictive and self-learning house automation
Bundesministerium für Verkehr, Bau und Stadtentwicklung
Research project Industry 4.0
Vicar
Customer Analytics and Recommendations
Thanks to self-learning Artificial Intelligence, our standard software has proven itself in different industrial branches. On the one hand, it improves our clients operative results. On the other hand, costs over years are reduced significantly, because necessary modifications – caused by changed processes – are understood automatically by Self Learning Algorithms. Thus, there is no need for a Data Scientist to adapt the solution again and again.