KPMG has signed a definitive agreement to get the intellectual property and technology assets of YData Labs Inc., a synthetic data startup founded in 2019. The acquisition equips KPMG with advanced tools to build, test, and scale synthetic datasets for artificial intelligence applications across its Audit and Assurance, Tax, and Advisory practices.
Establishing the Synthetic Data Center of Excellence
To drive adoption across its service lines, KPMG is establishing a dedicated Synthetic Data Center of Excellence (COE). The initiative focuses on delivering privacy-preserving datasets while protecting sensitive client confidentiality during model training and testing.
As part of the transaction, YData founders Gonçalo Martins Ribeiro and Fabiana Clemente will join KPMG to lead technical development within the new Center of Excellence.
Addressing Enterprise AI Data Bottlenecks
Real-world datasets present significant compliance and privacy hurdles for enterprise AI projects.
Synthetic data mirrors the statistical characteristics of actual production data without exposing underlying confidential records, offering critical advantages for enterprise clients:
- Privacy Preservation: Enables model training and testing in highly regulated environments without regulatory exposure.
- Accelerated Time-to-Value: Removes bottlenecks associated with data masking and complex privacy approval processes.
- Edge Case Simulation: Allows teams to generate rare scenario data to stress-test AI models and agentic workflows before deployment.
Through the integration of YData’s core platform and Software Development Kit (SDK), KPMG aims to provide a unified end-to-end framework for clients looking to train, evaluate, and scale AI safely.
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