The Infrastructure for the Data & AI Economy
Dedomena.AI is an enterprise AI infrastructure platform that transforms sensitive data into governed digital assets. By integrating synthetic data, secure data spaces, federated intelligence, and lifecycle governance, the platform enables organizations to build, train, share, and monetize data and AI systems without exposing private or regulated information. Secure. Compliant. Scalable. By design.
Data Validation
Turn any dataset into a trusted asset through the automated validation of its quality, structure, privacy risks, bias, and regulatory compliance.
Data Anonymization
Go further than traditional anonymization techniques. With Dedomena, there is no trade-off between privacy and data value.
Synthetic Data
Generate accurate, production-like, statistically similar, synthetic copies of your data without containing any identifiable information, ensuring business value and privacy.
Neurons
Extract insights and value from your data in minutes rather than months or years. We have already built those models you need. Just plug and play.
Cortex
Find the secure and quality data you need in order to build, train, improve and test AI and data applications.
Trusted by the best
Dedomena enables data-driven companies to accelerate the use of their information without restrictions, ensuring privacy and quality.
Why choose Dedomena?
For many businesses, innovation relies on data. However, nowadays data ecosystem is restricted, regulated, biased and incomplete.
Create synthetic data environments to play.
Reduce time to projects and proof of concepts by 85%.
Boost data innovation and learning with hackathons.
Related articles
Check out some of our explanatory articles or cross-industry use cases to know more.
From Governance Documents to Policy-as-Code: Why Financial AI Needs Executable Governance
Traditional governance documents are no longer enough for enterprise AI.
Building an AI Credit Scoring System Under the European AI Act: What We Learned from OpenScore
Financial institutions can now estimate default probabilities with a level of precision that was difficult to imagine only 10 to 15 years ago
Data Segmentation in the Age of AI: From Organization to Activation
Data segmentation has evolved further towards
Redefining Cybersecurity in the Age of AI
Cybersecurity is shifting from protecting systems to protecting data. Learn how organizations can unlock AI safely using synthetic data, secure data spaces, and compliance-by-design frameworks.
Data Outliers, biasses and noises: Invisible Risks
In the development of AI solutions, three invisible threats compromise model quality, precision, and fairness: outliers, bias, and noise.
Technology with Purpose: Unlocking Responsible AI
Dedomena.AI empowers organizations to unlock the value of data without compromising ethics, privacy, or inclusion.
