NeMo Data Designer

What is NeMo Data Designer?

NVIDIA NeMo Data Designer (formerly Gretel.ai) provides a programmatic way to generate synthetic data through configurable schemas and AI-powered generation models. Users can generate high-quality synthetic datasets from scratch or using seed data. The platform supports flexible schema definition for building production-grade synthetic data with diverse statistical distributions, meaningful correlations between fields, and validated outputs.

Data generation options include statistical samplers, LLMs, or existing seed datasets. Users can control relationships between fields with dependency-aware generation and validate quality with built-in Python, SQL, and custom validators. Comprehensive validation and evaluation tools provide automated metrics and LLM-based judges to assess generated code correctness and overall data quality.

Common applications include generating realistic datasets without personally identifiable information for privacy protection, expanding limited datasets for model training through data augmentation, creating safe test data for application development, meeting regulatory requirements while maintaining data utility, and reducing data acquisition costs. Data Designer integrates with Claude Code as a skill for coding agents, allowing users to describe desired datasets while agents handle schema design, validation, and generation.

Nvidia acquired Gretel.ai in 2025 in a nine-figure deal, to generate synthetic AI training data.