If you're looking for a Kaggle alternative, Hugging Face is a good choice. It has a rich model collaboration, data exploration and app development environment with more than 400,000 models and 100,000 public datasets. The service has tools for data preprocessing, model deployment, and a large community, and a variety of pricing tiers depending on your needs.
Another good option is Dataloop, which is geared specifically for AI development with data curation, model management and pipeline orchestration. It can handle a variety of unstructured data types and can automate preprocessing, model deployment and human feedback. The service is designed to help you collaborate more easily, work faster and maintain security.
Anaconda is another good option, particularly if you're in financial services, health care or manufacturing. It's a suite of tools for data science and AI development, including a collaborative cloud, industry-specific tools and AI-boosted coding. Anaconda has flexible pricing and can help data scientists and teams innovate and get models into production faster.
Last, you could check out Dataiku, which seeks to make data use more systematic for business success. It's got tools for data preparation, machine learning, MLOps and collaboration, with customized options for different teams and industries. Dataiku is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms, so it's a good option if you need something that scales and is governed.