Kelvatek’s Sapient solution is a suite of software applications underpinned by an industry specific data management platform. Sapient provides energy operators with unparalleled visibility of their networks and assets.
Network operators are faced with the challenge of how to manage increased loads for transportation and heat; incorporating a greater variety of distributed generation sources; tackling capacity constraints, and providing flexibility services whilst maintaining a reliable, resilient, affordable, and secure network.
As a result of these changes in operating conditions, the electricity grid is experiencing an increase in critical assets and encountering a more unpredictable risk landscape.
Despite these challenges, the digitisation of networks has resulted in a significant growth in data accessible to operators, offering opportunities to use this data to unlock valuable insights to help them operate, manage, and invest in the network and its critical assets.
Sapient Network Insights provides users with visibility of historic, current, and future load patterns across the entire network topology from EHV, HV and LV allowing them to manage their network more effectively and unlock capacity in the network.
We combine our deep domain knowledge and engineering expertise to create asset-specific models that can accurately assess the health of assets. This information enables organisations to make informed decisions, optimising operational efficiency and minimising downtime.
The Sapient Platform is the core data management platform shared by all our Insights applications. The platform provides a common framework for the ingestion and processing of sensor data; data management; and the execution of advanced AI/ML models. Data can be ingested from all devices, not just Kelvatek devices, and offline data can also be imported on a periodic basis where needed.
An IEC CIM compliant network data model that allows data to be placed and processed in the wider network context.
Streaming and batch data ingestion from sensors & equipment deployed on the network as well as integration to internal IT systems.
Enterprise data management including data catalogue, data quality monitoring, data governance and controls.
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