Dedomena
Madrid data platform that validates, anonymises and synthesises in one workspace
Quick Overview
| Company | DEDOMENA ARTIFICIAL INTELLIGENCE, S.L. |
|---|---|
| Category | Synthetic Data Platforms |
| Headquarters | Madrid, Spain |
| Founded | Not stated |
| EU Presence | Yes - Spain (EU) |
| Data Location | Not stated on the pages reviewed |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | Not stated |
| Main Features | Synthetic data, anonymisation, data validation, multi-table learning, API, EDGE option, quality report, data space |
| Pricing | Start for free; paid pricing not published |
| Best For | Banks and data teams that want profiling, anonymisation and synthesis in one tool |
| Replaces | Gretel, NVIDIA NeMo Data Designer |
Detailed Review
Dedomena positions itself as a platform for turning data into governed assets, with synthetic data as one of several modules next to validation, anonymisation, a data space and AI agents.
Its legal entity is DEDOMENA ARTIFICIAL INTELLIGENCE, S.L., registered at an address in Rivas-Vaciamadrid according to its terms.
Synthesis with four algorithms
The synthetic data page says users pick one of four algorithms, including one aimed at banking data, and choose which columns to train on. It also states that the generator can learn from several tables or files at once and keep referential integrity.
Supported types listed are numerical, categorical, dates, geolocation, identifiers and text.
Reports before release
Each generation ends with a quality report on utility and privacy, so a team can judge the output before it is shared. Results can be downloaded or kept in the user's workspace.
More than synthesis
Validation profiles datasets for quality issues and sensitive fields, anonymisation covers privacy techniques, and the data space module is meant for sharing between organisations. That breadth helps when one tool should cover the whole preparation chain.
Limitations to Consider
Pricing beyond a free start is not published and hosting regions are not stated on the pages reviewed, so data residency has to be confirmed in writing. The platform is broad, and teams that only want a generator may find Syntho or the MOSTLY AI SDK simpler. Performance claims on the site are the vendor's own.
Who Should Use Dedomena
Spanish and European data teams, notably in finance, that want validation, anonymisation and synthetic generation under one contract with a Madrid-based vendor.
Pros and Cons
Pros
- Four selectable algorithms
- Multi-table generation with referential integrity
- Quality report on every run
- Free start available
- Validation and anonymisation in the same platform
Cons
- Paid pricing not published
- Hosting location not stated
- Wide scope can mean extra modules to learn
- Improvement figures come from the vendor
Alternatives to Dedomena
Other European synthetic data platforms worth comparing before you decide:
Octopize
France · Avatar anonymisation with synthetic data and public price tiers
Syntho
Netherlands · Masking, rule-based and AI-generated data in one engine
Aindo
Italy · Trieste synthetic data for clinical evidence and public health
MOSTLY AI
Austria · Open-source synthetic data SDK plus a managed data platform
See all European synthetic data platforms or compare them directly against Gretel on our alternatives page.
Frequently Asked Questions
Yes. The vendor says the synthesizer learns from multiple tables or files at once while preserving referential integrity.
The site offers a Start for free route, but it does not publish plan limits or paid prices.
A quality report assessing utility and privacy, according to the synthetic data page.