Question: Can you recommend a platform that generates synthetic data for AI/ML development while ensuring privacy compliance?

If you're looking for a platform to generate synthetic data for AI/ML training while ensuring privacy, MOSTLY AI is a great choice. This platform generates fully anonymous synthetic data, which is great for companies that need high-accuracy synthetic data without worrying about privacy. It can be integrated with existing infrastructure and has ISO27001 and SOC2 Type 2 certifications for strong security. This platform is great for data sharing, AI/ML training, self-service analytics and testing & QA.

Another good option is Tonic, which is designed to generate realistic and compliant test data to help companies comply with privacy regulations. Tonic's data transformation abilities and on-demand data for staging environments can dramatically increase engineering velocity. It can integrate with a wide range of data sources and offers pay-as-you-go pricing options, so it's a good option for teams that want to improve consistency and freshness across dev environments without sacrificing data privacy.

If you want a more interactive data generation and editing experience, check out Gretel Navigator. This platform lets you generate, modify and amplify tabular data using SQL or natural language prompts. It's good for training foundation models, fine-tuning large language models and creating evaluation datasets. With its real-time inference API, customers can generate custom datasets to fill gaps or add regional attributes, which can help improve data quality and accelerate product development.

Last but not least, Appen offers an end-to-end platform for high-quality, diverse data that supports human feedback and collaboration. With a customizable and auditable platform, Appen can handle a wide range of data types and offers flexible deployment options. It's used by major brands and can be used to collect, curate and fine-tune data for traditional machine learning and generative AI applications, offering a scalable and reliable option for AI data needs.