Scale AI
Scale AI is a Data + Gov AI based in San Francisco, CA (United States), founded around 2016.
Data labeling, evals, and government/enterprise AI platforms; SEAL evals influence benchmarks.
Company overview
Scale AI competes in the global AI stack as a Data + Gov AI. Buyers typically evaluate them on model quality, price/performance, ecosystem (APIs, cloud regions, developer tools), language coverage, and compliance posture.
- Headquarters: San Francisco, CA
- Country / region: United States
- Founded: 2016
- Category: Data + Gov AI
- Website: https://scale.com
Strategic strengths – what they are good at
- Training data pipelines
- Evals (SEAL)
- Public sector contracts
How teams usually use Scale AI
- Builders / startups: ship product features and agents with the best price-quality tier.
- Enterprise: prioritize SLAs, data residency, IAM, and cloud marketplace integration.
- Researchers / open-source: fine-tune or self-host when open weights exist.
- Creators: use media/voice lines when this company ships image, video, or TTS models.
Evaluation checklist
When comparing Scale AI against peers, verify: (1) latest official model cards on your task, (2) real token cost under agent harnesses, (3) latency / TPS, (4) tool-use and computer-use quality, (5) policy and regional availability.
Models from Scale AI (1)
Click any model for a full page: specs, benchmarks, pricing signals, strengths, limitations, and when to pick something else.
Benchmarks and prices are directional mid-2026 public/provider figures – re-check official docs before procurement.