The AI landscape is evolving, and the licensing model for different layers of AI technology will become increasingly important for standardization.

As AI becomes more integrated into various applications, we need to optimize for specific internal use cases, which may lead us to use other models if they better serve those needs.

Companies are increasingly using multiple AI models for different tasks, optimizing performance by selecting the best model for each specific application.

Startups should begin with the best AI model available to ensure success, as leveraging cutting-edge technology is essential for gaining a competitive edge in the market.

The intelligence of AI models is becoming a commodity, and companies need to adapt by focusing on delivering software that solves real-world problems.

We work with both large and small model providers, aiming to assist anyone who wants to collaborate with us on AI evaluation.

We work with both large and small model providers, aiming to assist anyone who wants to collaborate with us on AI evaluation.

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

The competitive landscape for AI is rapidly evolving, similar to the early days of cloud computing, with new companies emerging to address specific needs, such as cybersecurity for large language models.