Scale Alternatives

If you're looking for a Scale alternative, SuperAnnotate is worth a look. It's an end-to-end platform for training, testing and deploying AI models. It pulls data from local and cloud storage systems and has a customizable interface to handle a broad range of GenAI tasks. With AI, QA and project management tools, it's designed to produce high-quality datasets, test models and deploy them to different environments.

Another good option is Appen. The platform offers high-quality, diverse data for foundation models and enterprise AI applications. It includes integration with LLM APIs, annotation, collaboration, testing and analytics, and can handle a variety of data types including text, images, audio and video. Appen's customizable workflows and built-in quality control processes mean it can be used to scale data collection, curation and fine-tuning.

Encord is another full-stack data development platform that could be a good fit. It's geared for building predictive and generative computer vision applications with tools for ingesting data, cleaning it, curating it and auto-labeling it. The platform integrates well with different storage and MLOps tools, and it's designed with security in mind, including compliance with standards like SOC2, HIPAA and GDPR.

Last is Dataloop, which combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It includes robust data management, automated preprocessing and strong security controls. Dataloop supports a variety of unstructured data types and can integrate with popular cloud platforms, making it a good all-purpose AI development foundation.