Dedomena

Custom Solution Available, Free Trial
Dedomena Dedomena

Dedomena is an AI-powered data platform wich focuses on synthetic data generation, data anonymisation, and secure data collaboration. It enables organizations to work with sensitive structured and semi-structured data while preserving privacy and regulatory compliance. It helps accelerate machine learning model training, improve analytics, and facilitates secure data sharing.

Key Features

  • Synthetic data generation: creates realistic synthetic data for datasets and fine-tunes pre-trained data synthesisers
  • Data standardisation: structured data can be uploaded and transformed in order to prepare data for privacy-preserving workflows
  • Data anonymisation: detects and redacts sensitive information in text and documents, supports compliance with GDPR
  • Data marketplace: datasets can be shared and monetised with third parties
  • Plug and Play AI applets: pre-built AI modules accessible via API and UI

Pricing Structure

Free version available: yes (upon request)
Nucleus: data generation and anonymisation
Starter: $99/month
synthesize up to 500.000 rows/run, synthesize up to 10 columns/run, up to 10 trained synthetic model/month, generate up to 1M rows/month, 1 concurrent job maximum, 2 datasets/run
ScaleUp: $499/month
synthesize up to 2M rows/run, synthesize up to 20 columns/run, up to 50 trained synthetic model/month, generate up to 5M rows/month, 3 concurrent job maximum, 3 datasets/run
Enterprise: $999/month
synthesize up to 10M rows/run, synthesize up to 50 columns/run, up to 100 trained synthetic model/month, generate up to 50M rows/month, 5 concurrent job maximum, 6 datasets/run
Neurons: data enrichment and business insights
Basic: $450/month
up to 1000 API calls/month, up to 5000 predictions/month, free trial: 10 calls/month
Plus: $1250/month
up to 50K API calls/month, up to 75K predictions/month, free trial: 10 calls/month
Enterprise: customized
more than 2.5M API calls, more than 10M predictions, free trial: 10 calls/month

Use Performance & Case Suitability

  • For data scientists to train synthetic data and test ML models. For privacy teams to anonymise data.
  • Interface in English

Customization & Flexibility

  • Integration of own data sets
  • Fine-tuning of synthesisers
  • Python SDL to connect own ML or ETL workflow, REST API for integration in DataOps, MLOps

Data Handling & Privacy

  • GDPR compliant

Support & Documentation

  • Support via email
  • Self-support via blog

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