European energy data
EDDIE
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.
Operationalization for European energy projects
Building the future of the European energy market, one project at a time
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 plans connect project results with users and operators.
Enterprise architecture aligns technology with organisations and responsibilities.
Data architecture supports secure and interoperable exchange.
Applied artificial intelligence is evaluated against measurable requirements.
Operationalization
Preparation for operation starts before the final project result
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
GridEnvelope
The interface combines connection status, current power, operating limits, and exchanged messages.
Turn regulatory and technical requirements into operational software
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
Use realistic energy data for integration and artificial intelligence work
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.
Grid operation and flexibility
GridControl
The interface tracks envelope type, validity, delivery status, and technical acknowledgement.
Create, issue, and trace connection envelopes from one operational workspace
GridControl gives distribution system operators a practical workspace for defining power requirements at individual grid connection points. Operators select the meter, create default, preventive, or curative min/max envelopes, issue them through an OpenADR-based integration, and follow each technical acknowledgement through the delivery lifecycle.
Meter-based workflows connect each instruction to the corresponding FCA connection.
Default capacities and time-based preventive or curative curves cover different operational needs.
Transport and availability acknowledgements make delivery status visible to operators.
Immutable revisions, raw payloads, hashes, and message coordinates support a traceable audit trail.
Architecture and applied artificial intelligence
Technical decisions must support the operating model
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.
Enterprise architecture connects organisations and technology
Responsibilities, capabilities, system boundaries, and operating processes are considered together.
Data architecture defines how information can be used
Semantics, access paths, quality, permissions, and governance require explicit decisions.
Integration architecture handles existing systems and standards
New services must work across organisations, legacy platforms, and sector specific interfaces.
Applied artificial intelligence starts with an operational use case
Data readiness, evaluation, integration, and governance determine whether a model creates value.
Selected work
Experience with European energy infrastructure and complex technology
These projects show responsibility for operationalization, architecture, implementation, and continued use across research, energy, and enterprise environments.
Common European Energy Data Space
INSIEME
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.
Secure transaction infrastructure
SIJOBRI
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.
European energy services
Valandex
Nathaniel Boisgard is a cofounder of Valandex, an energy data service provider developing services for the European energy market.
Operationalization services
Support from project strategy to operating service
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
Operationalization strategy and business design
We define target users, ownership, value propositions, governance, funding, support, and the path from funded work to continued operation.
02
Enterprise architecture and data architecture
We define capabilities, system boundaries, information models, interfaces, security responsibilities, and integration with existing platforms.
03
Applied artificial intelligence and software delivery
We select suitable use cases, assess data readiness, define evaluation criteria, integrate models, and establish the governance required for operation.
About FlexiData
Twenty years of technology experience across industries
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.
Founded
February 2026 in Vienna
Focus areas
Operationalization, enterprise architecture, data architecture, software engineering, and applied artificial intelligence
Technical foundation
Twenty years of IT experience across energy, heavy industry, the public sector, and financial services
Projects and implementation
Discuss how your project results can continue in operation
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.