tools
Scale Data Engine
Scale Data Engine helps teams collect, curate, annotate, evaluate, and manage data for machine-learning models.
Scale Data Engine supports data collection, curation, annotation, model evaluation, and generative-AI data workflows. It covers text, image, video, and 3D sensor-fusion data, including LiDAR.
ML teams, AI labs, enterprises, and government organizations use it to create training datasets, apply human feedback, find model weaknesses, red-team systems, and improve model performance. Enterprise pricing requires a demo; self-serve usage is pay-as-you-go, with some initial usage at no cost.
Features
- Create complex prompt-response pairs for generative-AI training
- Apply human preferences to model outputs with RLHF workflows
- Use prompt-injection techniques to red-team models
- Evaluate models against complex and diverse prompts
- Annotate text, image, video, and LiDAR data
- Support document processing, NLP, transcription, and content labeling
- Provide real-time visibility into data collection and curation
Use cases
- Build training datasets for language and generative-AI models
- Label computer-vision data from images, video, and LiDAR sensors
- Find model weaknesses with evaluation and red-teaming workflows
- Rank model outputs using human feedback
- Curate data for autonomous-vehicle and robotics models