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What we do?

Dedomena is an Artificial Intelligence company that provides data solutions for business, by putting privacy first.

Our Platform

Dedomena delivers a single platform that solves the most dominant issues for data-driven companies: access to secure and quality data and the extraction of value from it.

Our platform helps organizations reduce time-to-data and time-to-insight from months to days, while protecting data privacy and ensuring compliance with data protection regulations such as GDPR.

We do this with best-of-breed Artificial Intelligence through Anonymization Tools, Synthetic Data and pre-built AI Applets.

Data Anonymization

Go further than traditional anonymization techniques. With Dedomena, there is no trade-off between privacy and data value.

Synthetic Data

Generate accurate, statistically similar, synthetic copies of your data without containing any identifiable information, ensuring business value and privacy.

AI Applets

Extract insights and value from your data in days rather than months or years. We have already built those models you need.

Dataverse

Find the secure and quality data you need in order to build, train, improve and test AI and data applications.

Platform Features

Your data monetization strategy starts with improving the privacy and the quality of your data. Discover how our modules can help you with that.

Connect - Axon

Generate - Nucleus

Enrich - Neurons

Monitor - Cortex

Navigate - Dataverse

Benefit from a single point of access to your data, regardless of its source. Save time thanks to our pre-build connectors and keep your data secured through our edge computing component.

Anonymize your data assets and boost ML performance with diverse, balanced and realistic synthetic data. Dedomena Nucleus helps teams overcome the inability to access enough edge cases, data collection bias, and data privacy issues with AI-powered synthetic data.

The fastest path to production-quality ML models and labels. Set up your model in minutes, get quality labels and predictions in hours, and scale to production volumes within days. Get production-quality models today and accelerate your AI development with Dedomena Neurons.

Manage data and model performance through data privacy, utility & quality assurance. Dedomena Cortex helps ML teams build better datasets by bringing together ground truth and model feedback to effortlessly fix model performance and data quality issues.

Get the synthetic data you need to create and improve your data experiences and models. Dedomena Dataverse is enriched with data made available by our customers and open-access public datasets.

Connect - Axon

Benefit from a single point of access to your data, regardless of its source. Save time thanks to our pre-build connectors and keep your data secured through our edge computing component.

Generate - Nucleus

Anonymize your data assets and boost ML performance with diverse, balanced and realistic synthetic data. Dedomena Nucleus helps teams overcome the inability to access enough edge cases, data collection bias, and data privacy issues with AI-powered synthetic data.

Enrich - Neurons

The fastest path to production-quality ML models and labels. Set up your model in minutes, get quality labels and predictions in hours, and scale to production volumes within days. Get production-quality models today and accelerate your AI development with Dedomena Neurons.

Monitor - Cortex

Manage data and model performance through data privacy, utility & quality assurance. Dedomena Cortex helps ML teams build better datasets by bringing together ground truth and model feedback to effortlessly fix model performance and data quality issues.

Navigate - Dataverse

Get the synthetic data you need to create and improve your data experiences and models. Dedomena Dataverse is enriched with data made available by our customers and open-access public datasets.

Why choose Dedomena?

Unlock the value of your most sensitive and valuable asset, your data.

Innovate Faster

Innovation relies on data

Improve ML Capabilities

Syn­thet­i­cally gen­er­ated.

Reduce Risks and Costs

Using synthetic datasets

Boost Collaboration

Share easily

For many businesses, innovation relies on data. However, nowadays data ecosystem is restricted, regulated, biased and incomplete.

Experiment and prototype, data is just some clicks away.

Develop and create data pipelines and models at scale.

Boost data innovation and learning with hackathons.

By 2025, most of the data used for the de­vel­op­ment of AI and data science projects will be syn­thet­i­cally gen­er­ated.

Create synthetic datasets for ML training.

Empower your Data Science team with more data.

Provide explainability to your AI systems.

The limitations for using real data are reduced when using synthetic datasets, also it can be generated on demand rather than needing to wait for a specific event to occur in reality.

Be compliant with the strictest data protection laws.

Reduce time-to-data and time-to-insight.

Improve data processes and reduce AI development costs.

Data sharing between departments, within organizations or across borders remains a big challenge.

Drive collaboration during development of ML solutions.

Speed up your data-driven culture.

Get data ready to be shared without boundaries.

Innovate Faster

Innovation relies on data

For many businesses, innovation relies on data. However, nowadays data ecosystem is restricted, regulated, biased and incomplete.

Experiment and prototype, data is just some clicks away.

Develop and create data pipelines and models at scale.

Boost data innovation and learning with hackathons.

Improve ML Capabilities

Syn­thet­i­cally generated

By 2025, most of the data used for the de­vel­op­ment of AI and data science projects will be syn­thet­i­cally gen­er­ated.

Create synthetic datasets for ML training.

Empower your Data Science team with more data.

Provide explainability to your AI systems.

Reduce Risks and Costs

Using synthetic datasets

The limitations for using real data are reduced when using synthetic datasets, also it can be generated on demand rather than needing to wait for a specific event to occur in reality.

Be compliant with the strictest data protection laws.

Reduce time-to-data and time-to-insight.

Improve data processes and reduce AI development costs.

Boost Collaboration

Share easily

Data sharing between departments, within organizations or across borders remains a big challenge.

Drive collaboration during development of ML solutions.

Speed up your data-driven culture.

Get data ready to be shared without boundaries.

Trusted by

Dedomena enables data-driven companies to accelerate the use of their data without restrictions.

Ready to unlock the value of your most sensitive and valuable asset

We have the solution

Talk to an expert

Articles & Use Cases

Check out some of our explanatory articles or cross-industry
use cases to know more

View all

Synthetic Data for insurance

Synthetic Data can help insurance companies to improve their underwritting, claims management and customer experience while unlocking the potential of data that have been hidden by data privacy regulations.

Nov 2022

5 min read

Synthetic Data for People Analytics

Companies now have access to more employee data than ever before, and, as data collection becomes easier, it is more important than ever for HR to take position on ethical data use, privacy and security.

Oct 2022

4 min read

The Potential of Synthetic Data in Healthcare

Synthetic data has received considerable attention as a method of protecting patient privacy, diversifying datasets and augmenting clinical research, hence accelerating the application of Artificial Intelligence across different hospitals and institutions.

Jul 2022

3 min read

The Value of Synthetic Data in Financial Services

Data anonymization is key to applying the best data-driven strategies in the banking industry. The correct implementation of this strategy based on synthetic data will allow extracting all the knowledge and insights from customer financial data.

Mar 2022

5 min read

Synthetic Data use cases in Financial Industry

The banking industry faces a wide variety of challenges when it comes to anonymization and data privacy. Thanks to synthetic data, banks can tackle data challenges more effectively and unlock the full potential of their data assets.

Mar 2022

3 min read

Why do traditional data anonymization methods no longer work?

The techniques that have always been used to anonymize data do not have the guarantee of ensuring the total anonymity of the data. These are techniques that have flaws when it comes to ensuring data privacy and utility.

Feb 2022

4 min read

What is Synthetic Data and Why is it so important?

Without any doubt, synthetic data is one of the key technologies in the present and future of data science and artificial intelligence, but what is synthetic data? How do they work? And why is it key for data-driven companies?

Sep 2021

3 min read

The Benefits of Synthetic Data

The applications and benefits that synthetic data can bring in the development of data-centric strategies for companies are huge and growing in relevance for data science teams.

Sep 2021

5 min read

Anonymization & Data Sharing

Throughout this article, we will work with a Kaggle dataset, making a brief demonstration of how synthetic data is generated and how it preserves the statistical properties of the original data.

Jul 2021

3 min read

About Dedomena

We are proud of what we do.