Dive Into the New Age of AIoT
Our Solutions
Digital Twin for whole ecosystem
Digital Twin for the whole production flow and environment. It provides a digital representation of the facility which can be used for testing and evaluating optimization strategies and examining impacts of the production and plant growth. The digital twin offers an opportunity to evaluate strategies with various uncertainties for your whole business ecosystem.
Artificial Intelligence Acceleration
Machine learning for forecasting behavioral patterns of product development, plant growth, and energy demand. It provides an accurate prediction of production time and product quality, and balances the output-to-input efficiency ratio incorporating the cost, sustainability, and economic profitability.
Versatility in IoT Application
IoT network-based control of the production process to provide the overall best practice for the whole production process. The combination of IoT, edge and cloud computing can control selected systems and investigate the potentials of high resilient autonomous control solutions for production.
Multi-objective optimization for all
Multi-objective optimization with evolutionary algorithms and neural network models can evaluate the objectives of quality, energy consumption, and cost to find an optimal configuration for the whole production and its ecosystem. The optimized solutions are constantly evaluated to determine if other solutions in the Pareto optimality space have occurred. The temporal importance of decisions can be considered to determine if some production phases have different optimal configurations.
We Integrate Your Ecosystem
The integration of IoT network, edge and cloud computing, forecasting, multi-objective optimization, and digital twin ensures a seamless process through a horizontal in-memory data grid.