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Gretel.ai

Discontinued as a standalone product; the technology now ships inside NVIDIA NeMo.

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What it is

Gretel trained generative models on your data to produce synthetic datasets that preserved statistical relationships while providing formal differential-privacy guarantees. NVIDIA acquired the company in March 2025 and has since retired the standalone service: gretel.ai now redirects to NVIDIA, and the capability lives on as the NeMo Data Designer and NeMo Safe Synthesizer microservices, licensed through NVIDIA AI Enterprise rather than sold self-serve.

Best for

Regulated enterprises already standardising on NVIDIA AI Enterprise. Teams that wanted Gretel's self-serve tier should look at Tonic or Neosync instead.

Where it is strong

  • Formal differential-privacy guarantees rather than best-effort masking, now via DP-SGD in NeMo Safe Synthesizer.
  • Synthetic data preserves statistical relationships useful for analytics and model training.
  • Backed by NVIDIA's platform investment rather than a single startup's runway.

Where it falls short

  • No longer buyable as Gretel — you are procuring NVIDIA AI Enterprise, which is far heavier than the old self-serve signup.
  • Model training adds time and cost compared to rule-based masking.
  • Safe Synthesizer trains on a real dataset, so it does not help with greenfield data that does not exist yet.

Pricing

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What drives the bill: The old credit-based self-serve tier is gone. The successor microservices are licensed through NVIDIA AI Enterprise; NeMo Data Designer can be tried on build.nvidia.com.

Check current pricing on NVIDIA (formerly Gretel)’s site

Figures are indicative and were last reviewed August 2026. Vendors change pricing often; confirm before you commit.

Works with

Python SDKSnowflakeBigQueryS3Databricks

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