Scale AI
To develop reliable AI systems for the world's most important decisions by delivering proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
Founding Story
Founded in June 2016 when Alexandr Wang was 19 years old. The concept originated from a personal project where Wang tried to build a camera system for his refrigerator to track groceries and realized the primary obstacle was lack of sufficient data to train the AI model. Wang and Lucy Guo initially gained traction by pitching their solution at the Computer Vision and Pattern Recognition conference. The vision was to create the 'data infrastructure to power the AI revolution,' addressing the critical bottleneck in AI development: the need for massive amounts of accurately labeled data through a combination of machine learning and human oversight.
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Leadership
Founders
Alexandr Wang
Born in 1997 in Los Alamos, New Mexico, son of Chinese immigrant physicists. Math Olympiad qualifier (2013) and US Physics Team member (2014). Attended MIT at age 17 studying mathematics and computer science but dropped out after freshman year. Previously worked as Software Engineer at Addepar, Tech Lead at Quora, and Algorithm Developer at Hudson River Trading. Founded Scale AI at age 19.
Lucy Guo
Computer science college dropout from Carnegie Mellon University where she studied computer science and human-computer interactions. Became a Thiel Fellow. Co-founded Scale AI in 2016 at age 21. Left the company in 2018 following a falling out with co-founder Alexandr Wang, retaining approximately 3% ownership.
Executive Team
Jason Droege
CEO (Interim, appointed June 2025)
Former Chief Strategy Officer at Scale AI. Previously Venture Partner at Benchmark working with early-stage founders. Former Uber executive.
Alexandr Wang
Board Member (former CEO until June 2025, now at Meta as Chief AI Officer)
Founder and former CEO. Math Olympiad qualifier and US Physics Team member. MIT dropout. Previously worked at Quora, Addepar, and Hudson River Trading. Joined Meta in June 2025 while remaining on Scale's Board.
Business Model
Revenue Model
Enterprise subscriptions and usage-based pricing for API services, data labeling, model evaluation, and custom AI solutions. Government contracts for defense and intelligence applications. No public pricing tiers - all pricing determined through enterprise sales process.
Target Markets
- AI labs and frontier model developers
- Fortune 500 enterprises
- U.S. Government and Defense (DoD, intelligence agencies, military commands)
- International governments (Qatar, Saudi Arabia, UAE)
- Autonomous vehicle companies
- Healthcare organizations
- Training and fine-tuning large language models
- Defense and intelligence decision advantage
- Enterprise AI transformation and automation
- Model safety and alignment research
- Autonomous vehicle data labeling
- Computer vision model training
- OpenAI
- Microsoft
- Meta Platforms
History & Milestones
Signed five-year partnership with Qatar government for national AI infrastructure
Announced Thunderforge program with DoD, Anduril, and Microsoft
Meta acquired 49% stake for $14.8 billion, valuing company at over $29 billion; Alexandr Wang joined Meta as Chief AI Officer; Jason Droege named CEO
Achieved over $1 billion in new business bookings
Signed three-year MoU with malomatia (Qatar) for sovereign AI capabilities
1 AI Tool by Scale AI
Scale AI
5moScale AI provides enterprise-grade data labeling, model evaluation, RLHF, and a GenAI Data Engine with API and SDKs to build, fine-tune, and deploy production AI systems.
