Create your individual Data Space. We provide the complete IT and governance infrastructure for secure, sovereign data exchange and collaboration with your partners – so you can fully focus on your core business.
In a connected world, data is the key to innovation – yet only if it can be shared securely, in a controlled way, and with trust. Data Spaces enable exactly that: a protected framework in which companies, organizations, and institutions exchange data sovereignly without losing control over it.
This creates new business models, greater value creation, and genuine collaboration while safeguarding data protection, European standards, and values.
However, building your own compliant Data Space is technically complex. With Data Space as a Service, we remove that barrier: ready to go quickly, configurable to your needs, and based on standards (IDS, Gaia-X).
In einer vernetzten Welt sind Daten der Schlüssel zu Innovation – doch nur, wenn sie sicher, kontrolliert und vertrauensvoll geteilt werden können. Data Spaces ermöglichen genau das: einen geschützten Rahmen, in dem Unternehmen, Organisationen und Institutionen Daten souverän austauschen, ohne die Hoheit darüber zu verlieren.
So entstehen neue Geschäftsmodelle, mehr Wertschöpfung und echte Zusammenarbeit, während Datenschutz, europäische Standards und Werte gewahrt bleiben.
Doch der Weg zum eigenen, konformen Data Space ist technisch komplex. Mit Data Space as a Service nehmen wir Ihnen diese Hürde ab: schnell startklar, passgenau konfigurierbar und basierend auf Standards (IDS, Gaia-X).
Within a few days, we configure your own initial Data Space infrastructure.
With our consulting offering Proof X, we’re happy to help you develop your idea into a functioning Data Space.
The Green Deal Dataspace (GDDS) shows how our service is successfully used in practice. The GDDS brings together businesses, research, and public institutions in a sovereign Data Space and creates a secure environment for exchanging relevant data that can be used economically. This fosters innovative solutions and partnerships that accelerate sustainable transformation and make a real contribution to the goals of the European Green Deal.
Objective:
Securely share research data on clinical trials, molecule and drug testing between pharmaceutical companies, universities and laboratories. Accelerate findings without disclosing sensitive patient data or IP.
Data sources:
Clinical trial data (anonymized), molecule and active ingredient databases, laboratory measurements and biotech simulations, external open data sources (e.g. WHO, EMA)
Example results:
Joint development of active ingredients without IP risk, faster identification of candidates for clinical trials, predictive models for side effects and efficacy, auditable GDPR-compliant collaboration
Objective:
Local authorities, municipal utilities and energy suppliers use a data space to securely consolidate energy consumption, traffic and building data. Furthermore, increase resilience, reduce CO₂ and plan smart infrastructure.
Data sources:
Electricity and load profile data (energy suppliers), traffic data and mobility flows, building data (renovation status, energy efficiency), weather and demographic data
Example results:
Heat maps for peak loads and bottlenecks, optimized urban and traffic planning, carbon footprints for neighborhoods and networks, scenarios for blackout prevention and energy transition.
Objective:
Banks and insurance companies detect fraud patterns (fraud detection) and assess risks by sharing industry-specific data rooms – without disclosing customer data.
Data sources:
Transaction patterns (anonymized), insurance claims & damage cases, industry-wide fraud & risk databases, external signals (e.g. white-collar crime, cyber-attacks)
Example results:
Industry-wide fraud detection models, early warning for conspicuous pattern chains, risk profiles for new products and markets, GDPR-compliant, audit-proof data cooperation
Objective:
Universities, research institutes and EdTech providers use shared data rooms for learning analytics, knowledge exchange and educational innovation – with full sovereignty over raw data.
Data sources:
Learning & exam data (anonymized), research projects & publications, MOOCs & e-learning platform data, open science & open data sources
Example results:
Adaptive learning models across universities, benchmarking of learning progress & dropout risks, joint research projects with secure data sovereignty
