Finding the right market fit is as crucial as developing the right product, especially in early-stage AI projects.

We're trying to build an artificial intelligence that is smarter and more capable than humans in every way, aiming to solve the biggest problems facing the world and create significant new businesses.

We realized that to scale our models, we needed to transition from pure research to a business model that could sustain the investment required for large AI models.

AI is creating wealth by enabling businesses and products that were previously not economically viable, expanding the universe of possible startups.

To stay top of mind, we focus on delivering effective AI solutions that solve real problems rather than just creating hype around AI.

As companies scale their AI applications, it's crucial to find the optimal balance across quality, cost, and speed to achieve sustainable growth.

We aim to share our findings about AI usage to foster societal resilience and prepare for the transformative potential of this technology.

The initial business of Scale AI focused on generating data for self-driving car companies, which required us to stay ahead of AI trends.

Achieving sustainable scale in AI applications requires aligning models with real-world use cases and optimizing user behavior throughout the product design process.