In the early days of Scale AI, the focus was on refining data for autonomous vehicles, transforming raw data into labeled, high-quality data for machine learning applications.

Scale AI is evolving from a data labeling company to a leader in agent-driven technology, which is growing rapidly and is seen as an infinite market.

At Scale, we power the data infrastructure for the entire AI industry, with every major large language model built on top of our data engine, and we partner with enterprises and governments to implement this technology for their unique challenges.

AI can help reframe various real-world problems into machine-readable formats, enhancing the coding process and expanding its applications.

AI is a general-purpose technology that fundamentally changes how we build software and use machines, similar to the internet.

AI's true superpower lies in its ability to process vast amounts of information and perform tasks at a scale that humans cannot match, such as analyzing thousands of search results quickly.

Distillation of large AI models into smaller, more efficient versions could make advanced AI capabilities more accessible and practical for everyday use.

Data is the new user interface for AI, and having highly curated data is crucial for achieving great outcomes with AI agents.

AI is both a general-purpose and highly specialized technology, requiring local expertise to fine-tune models for specific needs.