SEKAI Digital Twin platform is building the foundation to bridge data silos by offering unconditional and polyglot data ingestion. Based on a broad set of micro level ontologies we make data interoperable by definition and weave them into an Elastic Knowledge Graph™ (KG)
UPTIME INCREASE ON FIELD SERVICE MAINTENANCE EVENTS
REDUCTION IN ONSITE TRAINING EFFORT
REDUCTION KNOWLEDGE SHARING EFFORT
Asset specific “In-Game” VR deployments
Our structural pipeline in combination with semantic data modeling enables provides a unique Connection between the Industrial World and the “In-Game” World
Operational Process Simulations
The SEKAI concept for “HUMANIZING DATA ” allows users to intuitive access and understand polyglot and federated data within the Elastic Knowledge Graph™.
Reduce planned and unplanned down-time by using SEKAI asset specific digital twins for training and simulation of field services maintenance events based on real-world asset representation in VR.
SEKAI is using one EKG over a fleet of assets allowing data scientist to provide insight to business and customers on fleet performance benchmark insights and correlating actions to improve their assets and its operations.
Run “what if” scenarios on asset specific and fleet data. Model based developments and performance engineering to ask the EKG for impact on changes in process and design, external disturbances and control system interventions.
Reliable data models are used to identify and detect anomalies to reduce unplanned downtime. Reducing or removing the need of human validation, by the use of simulations and advanced analytics over existing data silos and system boundaries.