Exa understands the meaning behind queries, allowing us to find relevant information even when traditional search engines fail to match keywords, such as identifying a rocket company in San Francisco.

AI applications are emerging everywhere, and they all require effective search capabilities, which is where Exa can provide significant value.

The goal of Exa is to create a search engine that understands user queries at a deep level, similar to how GB3 interacts with users.

At Exa, we apply a scaling hypothesis for search, believing that increasing data and compute will enhance our search engine's capabilities, unlike traditional search engines that have stagnated.

AI excels at semantic search, allowing it to find relevant information from arbitrary text, which was challenging before.

Persistence was crucial in developing Exa; without it, we might have given up after six months of challenges in creating a functional search engine.

AI excels at processing disparate and unstructured information from various systems, enabling it to synthesize data and take actionable steps, which opens up new use cases for software in the BPO sector.

DeepSeek represents a significant step towards achieving artificial general intelligence (AGI) in a more accessible form.

We're excited about Alpha Evolve because it represents the beginning of an automated process in AI research, although it's still relatively narrow in application. We can now generate novel ideas that advance the state-of-the-art in AI, going beyond just analyzing existing data.