Intertrust provides software technologies that allow energy companies to securely access, manage and exchange energy and other data that is spread across multiple platforms and technologies, internally and externally, from the cloud (or datacentre) down to the energy IoT device level.
Intertrust solves (energy) data problems in three different areas:
Data risk: avoiding legal, reputational, and operational risks)
Data inefficiency: avoiding inefficient data operations in digital transformation
Digital growth: boosting innovative business by generating new digital ecosystems
In sum, the technologies are used to overcome any shortfalls in energy data access, interoperability, collaboration, as well as consistency in OT/IT data security, consequently avoiding long and expensive system integrations. They also enable new, data-driven energy use cases and business.
The technologies set out to solve the data challenges reflected in the EU Action Plan for Digitalising the Energy System:
"The key enabler for a digitalised energy system is the availability of, access to, and sharing of energy-related data based on seamless and secure data transfers among trusted parties. Better coordinating these exchanges and building an EU coordination framework to strengthen interoperability among different systems and technical solutions will make it possible for more innovative services to enter the market. Generally applicable principles will also need to be strictly upheld, including those on EU data sovereignty, cybersecurity, data privacy, consumer acceptance and interoperability."
Together with E.ON’s 100% subsidiary Digikoo GmbH, Intertrust has deployed its technologies to create a unique and progressive foresight and planning engine for the electrical energy, mobility, and heating/cooling transition. This engine embeds a large amount of different data sources on one platform that runs advanced analytics and AI on top of virtualised data sets.
The key goal is to create maximum value from internal and external data assets via enabling unique foresight and planning capabilities in one instance and platform. The key benefits are as follows:
Proactively managing the electrical energy, mobility, and heating transition in a cost-efficient and agile (digital) way.
Integrating data and information that is impossible to blend with conventional approaches. This generates new insights and capabilities for grid infrastructure planning and design.
Running any 3rd party AI with flexibility and agility and switching between AI applications from different developers.
Improving allocation performance of given capex and opex budgets in the grid.
Cutting EV infrastructure planning time from 3 months to 3 seconds and relieving resources for other tasks as more data arrives, allowing the system to grow into a DSO’s core virtual data system.
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