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.

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.

Exa was launched in November 2022, designed specifically for AI applications that require knowledge retrieval.

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

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.

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.

AI applications do not operate in isolation; they rely on various services, including databases, to function effectively.

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 applications that provide context about users' lives and help them make better decisions will become mainstream, enhancing personal productivity and decision-making.