Scale Rapid is the self-serve entry point to Scale AI’s managed data-labeling service. Unlike annotation editors that a team staffs itself, Rapid routes labeling tasks to Scale’s managed workforce and quality systems, so customers define the work and receive completed labels rather than annotating in-house.
How it works
Users upload data, choose or configure a labeling use case, and write task instructions. A small calibration batch returns early results and reviewer feedback so instructions can be refined before scaling up. Once quality is satisfactory, customers launch larger production batches at a regular cadence. The model is designed to compress project turnaround from months to hours, with no minimum volume.
Supported data and use cases
- Images, video, text, documents, and audio
- Common annotation use cases such as boxes, segmentation, and classification
- Instruction-driven setup with a calibration-then-production workflow
- Quality assurance backed by a managed workforce
Pricing and users
Scale Rapid is a paid, usage-based managed service with no minimums on the self-serve tier, sitting alongside Scale’s larger enterprise engagements. It suits startups and ML teams that need production-quality labels quickly without recruiting and managing their own annotators, and that prefer an outsourced labeling operation to running a self-hosted tool.
Multimodal