At Bcombinator, we have spent considerable time analyzing where AI projects fail before delivering real business impact. One pattern emerges with remarkable consistency: it is not the algorithm, it is not the talent, and it is not the budget. It is the data.

Organizations have data. The problem is that they cannot use it. Privacy concerns, regulatory compliance, reputational risk, internal silos, and the inability to share information across organizations without exposing themselves to regulatory consequences all contribute to the same outcome: the data exists, but it remains locked away.

The data exists. The problem is that it cannot be used.

The numbers leave little room for doubt:

• 77% of organizations report data quality issues, and 80% of executives admit they do not trust their own data (AI Data Analytics, Actian).
• €108 billion is lost annually due to data immaturity and poor governance in AI projects (Hitachi Vantara).
• 74% of companies have yet to generate tangible value from their AI investments (BCG).
• 68% of data and AI projects experience delays due to data access, integration, or compliance challenges (Accenture AI Transformation Report).
• Less than 1% of enterprise data is shared between organizations, limiting collaboration, innovation, and the creation of new digital services (World Economic Forum).

The problem is not technological. It is structural. And it becomes even more critical in sectors where data is most valuable precisely because it is also the most restricted: financial services, healthcare, public administration, and defense.

The Regulatory Landscape Is Changing Everything

The European AI Act, GDPR, and the rise of sector-specific data spaces are not just sources of regulatory pressure—they also represent a significant opportunity for organizations capable of operating within these frameworks.

Organizations that can leverage their data securely, with proper governance and full regulatory compliance, will gain a real competitive advantage. Those that cannot will continue to see their AI initiatives delayed indefinitely.

Dedomena.AI Is Built to Solve This Problem

Dedomena.AI is a European platform designed to address this bottleneck at its source: enabling organizations to use data in highly regulated environments without compromising privacy or compliance.

Its capabilities address the most common obstacles faced by organizations handling sensitive data:

• High-fidelity synthetic data generation for AI model training without exposing real information.
• Secure and governed data spaces for sharing and consuming data across organizations.
• Advanced anonymization and built-in privacy protection.
• End-to-end traceability, auditability, and regulatory compliance by design.
• Secure AI deployment in complex environments, including private and on-premises infrastructures.

The platform is particularly relevant for industries where data carries both high value and high regulatory risk, including: Financial services, Healthcare and life sciences, Public sector, Defense and security, Telecommunications, Mobility and logistics, Energy and critical infrastructure, Retail and consumer goods.

Where Does Your Organization Stand?

Many organizations already possess the data needed to innovate with AI, but lack the infrastructure required to do so while meeting regulatory, governance, and privacy requirements.

If any of these challenges sound familiar, the Dedomena.AI team offers a complimentary strategic consultation to help identify opportunities in AI adoption, data readiness, compliance and governance maturity, data collaboration, and the creation of new digital assets.

Access: https://app.dedomena.ai/ff64199472c27f3/bcombinator-dedomenaai