YData
Synthetic data generation for AI training
About
Founded in 2019 by Goncalo Martins Ribeiro and Fabiana Clemente and headquartered in Seattle, YData built an AI-powered platform for generating high-fidelity synthetic datasets that preserve the statistical properties of original data without exposing sensitive records. Data science and ML teams use it to augment training sets, enable cross-team data sharing under privacy constraints, and comply with GDPR and HIPAA without blocking model development workflows. The platform supports tabular and time-series data generation and integrates with standard Python data science tooling. KPMG announced an agreement to acquire YData's IP and technology assets in October 2025.
Products
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YData Fabric
— Manage and understand data assets, synthetic data, and pipelines to deliver better data and reliable models at scale.
Customer sectors: data scientists, AI teams, enterprises
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YData Data Catalog
— Assess, track data changes and drifts using an interactive catalog for effective data management.
Customer sectors: data engineers, data scientists, enterprise IT
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YData Synthetic Data
— Generate synthetic data that mimics real data to protect sensitive information and improve AI model efficiency.
Customer sectors: data scientists, AI developers, healthcare
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YData Pipelines
— Automate data preparation workflows including cleansing, transforming, and versioning to boost AI model performance.
Customer sectors: data engineers, ML engineers, AI teams
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YData Profiling
— Automate data profiling for fast exploratory analysis and benchmarking of datasets with a simple interface.
Customer sectors: data scientists, data analysts, machine learning teams
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for YData — available to members.
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