Question: Looking for a platform that enables creating custom datasets with correlated data, regional attributes, and PII labels for machine learning training.

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Gretel Navigator

If you want a platform to create your own custom datasets with correlated data, geographic attributes and PII labels for machine learning training, Gretel Navigator is worth a close look. This AI system lets you create, edit and amplify tabular data with modes for generating plausible data and modifying existing data with SQL or natural language prompts. It's good for training foundation models, fine tuning large language models and creating evaluation datasets. Gretel Navigator also has a real-time inference API and supports data augmentation, so it's a good choice for building your own custom datasets.

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SuperAnnotate

Another strong option is SuperAnnotate, which is an end-to-end platform for training and deploying AI models with high-quality datasets. It can import data from local and cloud storage, has a customizable UI for different tasks, and has a global marketplace for annotation teams. SuperAnnotate has data security and privacy controls and can handle a variety of data types, including images, videos, text and audio. The platform is designed to accelerate AI development while ensuring high-quality and secure datasets.

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MOSTLY AI

For companies that want to create and explore synthetic data without writing code, MOSTLY AI is worth a look. The platform has a natural language interface for data exploration, fully anonymous synthetic data generation and high-accuracy synthetic data for AI/ML use cases. It's designed for enterprise customers with easy installation and integration with existing infrastructure, and it's designed to meet security standards. MOSTLY AI supports data sharing, AI/ML development and self-service analytics.

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Encord

Last, Encord is a full-stack data development platform geared specifically for building predictive and generative computer vision applications. It includes tools for data ingestion, cleaning, curation, automated labeling and model performance evaluation. Encord's user interface and robust support system make it easy to develop AI, ensuring high-quality training data and better model performance. The platform is secure with compliance to SOC2, HIPAA and GDPR.

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