The future of AI in enterprises will likely involve a mix of homegrown algorithms for unique applications and external solutions for standard operational needs. The opportunity lies in developing infrastructure and developer tools that enable internal IT or AI teams to operate efficiently and create tailored solutions for their businesses.

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.

Enterprises should focus on building tools that allow domain experts to apply their expertise confidently without worrying about underlying AI behaviors.

Businesses should focus on where they have unique data that can enhance product experiences, rather than just seeking efficiency gains through AI.

Enterprises must ensure that AI applications align with their business values and goals, rather than solely focusing on performance metrics.

The future of AI in the enterprise will involve helping companies navigate the complexities of AI to leverage its benefits effectively.

Companies should focus on proprietary data and unique test cases to differentiate themselves in the AI market.

AI is a general-purpose technology that requires specialization for different industries and companies.

Our business evolved to include AI-based applications and agentic workflows for enterprises and government customers, moving beyond just data production.