Overview
Scale AI was founded in 2016 and is headquartered in San Francisco, California, with more than 1,000 employees. Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. The company's evaluation work also includes red-teaming of AI models. The company runs leaderboards with private benchmarks for AI developers, and its early work supported autonomous vehicles before expanding to frontier models.
Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Other customers include British Petroleum, Cengage, Howard Hughes, Physical Intelligence, Universal Robots, Shore Capital and the Center for AI Safety, covering sectors such as energy, education, real estate, robotics and private equity. The company reports having paid $1B to contributors globally, and about 25% of its contributors hold advanced degrees.
Funding rounds
Disclosed funding: $1.6B across 9 rounds. Latest: Later Stage VC (Series G), 11 Jun 2025.
2 rounds have an undisclosed amount, not included in the total.
| Date | Type | Amount |
|---|---|---|
| 11 Jun 2025 | Later Stage VC (Series G) | Not disclosed |
Office locations
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Latest videos from Scale AI on YouTube
Scale Post-Training + NVIDIA Nemotron
How Qatar Is Designing Its National AI Infrastructure
Reliable AI, reimagined | Scale AI
Benchmarking Coding Agents: Scale AI Research Meetup (NYC) 08/13/26
Recent posts from the Scale AI blog
- A great pianist can play almost anything, but mastering one piece is what makes a performance exceptional.
The same goes for AI. With today's launch of Nemotron 3.5 Super VL, we’re collaborating with NVIDIA AI to combine their open post-training tools with Scale’s data, evaluation and applications building expertise.
- People can read between the lines: whether something will fit in a space, or what’s likely to happen next.
For leading AI models, that remains a major challenge. We’re introducing Humanity’s Sixth Sense in partnership with Elorian AI, a new benchmark measuring how well AI can make sense of the world from visual context.