OpenAI Synthetic Data Hub: A reputable source of synthetic datasets that include text, images, and coding to support AI model development.
Google SynthWave 2025: Google SynthWave 2025 is not a specific, named product, but rather a conceptual synthesis of Google's advanced synthetic data.
MIT SynBench: An industry-standard open-source synthetic dataset benchmark for validating and testing AI.
NVIDIA SimNet: Synthetic datasets derived from simulation-based data for robotics and computer vision use.
Databricks Synthetic Data Cloud: It’s an enterprise-grade platform for synthetic data, leveraging the technology acquired from MosaicML in 2023.
Unity Perception Dataset 2025: The Unity Perception package has matured in 2025 to become a more potent and integrated tool for AR/VR.
Amazon Bedrock Data: Includes tools to create synthetic datasets, enabling developers to create and customize generative AI models.
IBM SynData 2025: In 2025, IBM SynData will deliver through privacy-first synthetic databases for secure AI training.
Open Source Synthetic Repositories: Open source synthetic data repositories, which can be hosted on GitHub, etc., are powerful assets to the AI research community.