What is Scale AI?
Scale AI's core business is data-labeling and human-feedback infrastructure: annotating training data (image, text, LiDAR/autonomous-vehicle data), running RLHF pipelines, and building evaluation sets to test model quality, largely for enterprise and government/defense customers. There is no self-serve signup or public pricing; engagements are scoped and quoted directly.
Read the full overview
Sources checked 27 September 2026: official website, documentation, pricing page (contact-sales only).
Key capabilities
- Data annotation: Human-in-the-loop labeling across modalities (text, image, LiDAR).
- RLHF pipelines: Human feedback collection to fine-tune and align models.
- Evaluation: Custom test sets and benchmarking services for model quality.
Data labeling, human feedback (RLHF) and model evaluation infrastructure for organizations training or fine-tuning AI models.
Shortlist Scale AI when you need outsourced, large-scale data labeling or RLHF/evaluation pipelines with an enterprise support relationship, not a self-serve API you can start using today.
Because pricing and SLAs are negotiated per engagement, the useful comparison against competitors is turnaround time and quality on a real, representative labeling batch, not a published rate card.
Technical details
- Access
- See vendor
- Source model
- Other license
- Founded
- 2016
- Headquarters
- San Francisco, USA
- Pricing model
- Contact sales
- API
- Available
- Website
- scale.com ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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