Scale AI is a comprehensive data platform designed to accelerate the development of artificial intelligence applications. The platform provides end-to-end machine learning operations, including data collection, curation, annotation, model training, and evaluation. Through the Scale Data Engine, teams can collect and label datasets, curate training data, and evaluate model performance in a continuous loop that improves model quality over time.
The Scale Data Engine supports a broad range of annotation types, including text, image, video, 3D sensor fusion, LiDAR, and geospatial data. Teams can process natural language, full motion video, electro-optical and infrared imagery, and transcription tasks. AI-assisted annotation tools combined with a workforce of subject matter experts deliver high-quality, diverse datasets for machine learning models at any scale.
Scale's Generative AI Data Engine powers many of the world's most advanced large language models through reinforcement learning from human feedback (RLHF), human data generation, supervised fine-tuning, red teaming, and model alignment. The platform supports the full lifecycle of LLM development, from initial pre-training data generation through evaluation and safety testing.
For enterprises, Scale GenAI Platform enables organizations to build, test, and deploy customized generative AI applications using their proprietary data. The platform provides model fine-tuning, test and evaluation, and human-in-the-loop monitoring. For government and defense customers, Scale Donovan delivers AI-powered decision support for national security workflows, operating in secure and classified environments including SIPR and JWICS.
- Annotating large-scale image and video datasets for computer vision model training
- Labeling LiDAR and 3D sensor fusion data for autonomous vehicle development
- Generating and curating RLHF datasets to fine-tune large language models
- Evaluating model performance against benchmarks to identify weaknesses and gaps
- Red teaming generative AI models to surface safety vulnerabilities and risks
- Building supervised fine-tuning datasets from vetted subject matter experts
- Curating multimodal training datasets using natural language search and autotag
- Deploying customized generative AI applications on enterprise proprietary data
- Processing documents, transcriptions, and NLP datasets for production ML pipelines
- Supporting government and defense teams with AI-powered decision intelligence tools

