Operationalization for European energy projects
FlexiData helps research consortia, energy companies, and technology providers turn concepts, pilots, and technical components into services that organisations can adopt and operate. We combine energy sector knowledge with enterprise architecture, data architecture, software engineering, and applied artificial intelligence.
Operationalization
Research and innovation projects often produce strong prototypes, specifications, and technical components. Continued use depends on decisions about ownership, architecture, integration, funding, support, and governance.
FlexiData works with project coordinators and technical teams to make those decisions early and turn project results into services that organisations can adopt and operate.
Operationalization connects research, business, architecture, and delivery.
Product development
The interface combines connection status, current power, operating limits, and exchanged messages.
GridEnvelope is a working example of how regulatory, organisational, and technical requirements become an operational service. It connects current measurements, configurable power limits, communication channels, and traceable messages in one system.
Business rules are represented through clear operational workflows.
External systems connect through documented standard interfaces.
Current state and past communication remain available for review.
Deployment can reflect customer infrastructure and responsibilities.
Simulation and testing
GridBench generates realistic consumption and production data for households, photovoltaic systems, batteries, electric vehicles, heat pumps, and mixed portfolios. Project teams can use the environment to test integrations, validate control strategies, reproduce unusual operating conditions, and benchmark artificial intelligence models.
Individual assets and mixed portfolios use configurable scenarios.
Measurements can be published through standard interfaces for integration work.
Teams can test control signals without risking physical equipment.
GridBench is massively scalable and can simulate millions of individual assets.
Architecture and applied artificial intelligence
FlexiData combines energy knowledge with enterprise architecture, data architecture, software engineering, and applied artificial intelligence. The goal is to make responsibilities, interfaces, data flows, deployment, and evaluation clear enough for organisations to operate the resulting service.
Responsibilities, capabilities, system boundaries, and operating processes are considered together.
Semantics, access paths, quality, permissions, and governance require explicit decisions.
New services must work across organisations, legacy platforms, and sector specific interfaces.
Data readiness, evaluation, integration, and governance determine whether a model creates value.
Selected work
These projects show responsibility for operationalization, architecture, implementation, and continued use across research, energy, and enterprise environments.
European energy data
The team behind FlexiData was responsible for the operationalization strategy and associated business planning. The work focused on preparing project assets for continued use after the research programme.
Visit website: EDDIECommon European Energy Data Space
We support the operationalization of the Common European Energy Data Space as a service. The work focuses on practical deployments that connect countries, data spaces, and energy sector participants.
Visit website: INSIEMESecure transaction infrastructure
We lead the technical implementation of patented technology for transactions in environments where participants cannot rely on a central trusted party. The work includes architecture, implementation, security, and preparation for operation at scale.
Visit website: SIJOBRIEuropean energy services
Nathaniel Boisgard is a cofounder of Valandex, an energy data service provider developing services for the European energy market.
Coming soonOperationalization services
FlexiData supports coordinators, consortia, energy companies, and technology providers that need to define how project results will be owned, integrated, financed, governed, and operated.
01
We define target users, ownership, value propositions, governance, funding, support, and the path from funded work to continued operation.
02
We define capabilities, system boundaries, information models, interfaces, security responsibilities, and integration with existing platforms.
03
We select suitable use cases, assess data readiness, define evaluation criteria, integrate models, and establish the governance required for operation.
About FlexiData
After many years at IBM, Nathaniel Boisgard founded FlexiData in Vienna in February 2026. At IBM, he led artificial intelligence, analytics, and automation for IBM Consulting Austria. His work draws on twenty years of experience in information technology across energy, heavy industry, the public sector, and financial services.
FlexiData applies this experience to operationalization, enterprise architecture, data architecture, software engineering, and applied artificial intelligence.
Alongside his company and project work, Nathaniel teaches an introductory programming course at TU Wien.
Projects and implementation
Tell us what your project is expected to deliver, who should use the result, and which organisations may operate it. We can start with a focused discussion about ownership, architecture, integration, funding, and delivery.
