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

As we gather more data and build a larger platform, we can create more granular and personalized evaluations of AI models.

As an application layer company, we must adapt to the rapidly changing landscape of AI model providers and ensure we are testing and integrating the best models available.

We're collaborating with a nearly hundred-year-old firm that is willing to adapt its business model to explore new AI solutions.

To scale Arena, we aim to capture a diverse user base across various industries, enhancing our ability to evaluate AI models effectively.

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.

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.

The collaboration between different labs and companies in developing open-source models is essential for maintaining competitiveness in AI.

The future landscape of AI may involve a combination of large models and smaller, specialized models that work in parallel, leveraging different areas of expertise.