no deep learning, no training, no GPUs

dbTwin generates safe synthetic clinico-genomic datasets with preserved biology and signals, reducing data access timelines from months to days without IRB delays or data use agreements. It was built specifically for high-dimensional, low-sample genomic and molecular datasets and validated in a joint pilot with Decode Health, published as a white paper. It runs inside the customer's environment so data never leaves it, and can be deployed on private cloud.

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preserved biology and signalsprivate cloud deploymentruns inside customer environmentSynthetic data generation