High-fidelity data for ML, synthesized from production
Gain confidence in your ML models and support business decisions with synthetic data that provides real-world results
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Djinn is the fastest path to high-quality, safe synthetic data for ML pipelines
Build customized views of only the data you need, working across your database, with no external scripting required. Train models on your views, then export those models directly into a Jupyter notebook to hydrate your ML workflows with synthetic data.
Capture complex relationships across columns of categorical, continuous, and location data, as well as the most nuanced relationships between interdependent rows of events data, thanks to Djinn’s deep neural network generative models.
Validate the privacy of your data with reports comparing your real data to your synthetic data within your Jupyter notebook. Gain confidence in the privacy you’ve achieved and in your model’s suitability for ML applications.
djinn Free Trial Features
Connect directly to your databases or explore Djinn using our tutorial data
Native connections to the leading relational databases and data warehouses
API Access for seamless integrations
AI-driven data synthesis
Privacy reports and analysis
Relationship modeling across continuous, categorical, and location data