Dedomena

About Dedomena

Dedomena key features

• **Data Anonymization**: Provides advanced anonymization techniques that comply with data protection regulations like GDPR and CCPA, ensuring sensitive data is protected while maintaining usability.
• **Synthetic Data Generation**: Creates high-quality synthetic data that replicates the statistical properties of real data without containing identifiable information, enhancing privacy and enabling data-driven strategies.
• **AI Applets**: Offers pre-built AI solutions that can be easily integrated into business processes, allowing organizations to leverage AI capabilities quickly and effectively.
• **Secure Data Spaces**: Facilitates controlled collaboration and data sharing within governed environments, ensuring compliance with regulatory standards while enabling data monetization.
• **Modular Architecture**: Features a flexible, modular design that integrates various components for data quality, governance, and AI model deployment, enhancing scalability and trust in data usage.

Dedomena use cases

• **Data Anonymization**: Protect sensitive data by anonymizing personal and sensitive information to comply with regulations like GDPR and CCPA, enabling secure data sharing and analysis.
• **Synthetic Data Generation**: Create high-quality synthetic datasets that replicate the statistical properties of real data for training machine learning models without exposing sensitive information.
• **AI Applets for Banking**: Implement AI-driven solutions for customer scoring, fraud detection, and credit approval to enhance risk management and operational efficiency in financial services.
• **Healthcare Innovation**: Generate synthetic clinical data to facilitate research, improve diagnostics, and enable secure collaboration among healthcare providers while maintaining patient privacy.
• **Cross-Border Data Collaboration**: Use anonymized and synthetic data to support international projects and research collaborations, ensuring compliance with data protection regulations.

Useful for

• Enables organizations to securely activate and govern sensitive data without exposing it, ensuring compliance with regulations like GDPR and CCPA.
• Facilitates the generation of high-quality synthetic data that retains statistical properties of real data, enhancing machine learning model training while protecting privacy.
• Provides a modular architecture that integrates privacy, utility, and governance, allowing for scalable AI solutions across various industries.
• Reduces time-to-data and compliance costs significantly, accelerating innovation cycles and enabling faster deployment of AI applications.
• Empowers organizations to collaborate securely and share data within governed environments, enhancing data-driven decision-making and operational efficiency.

Price

• The application offers a free trial for users to start using its services.
• Specific pricing details for paid plans are not provided in the text.
• Users can register for free to access features such as data anonymization and synthetic data generation.
• The platform emphasizes compliance with regulations like GDPR and CCPA, but no specific pricing tiers are mentioned.
• There is a focus on providing tailored AI applets, but again, no explicit pricing information is available.