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

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 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.

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.

The integration of AI in search aims to improve user engagement by providing more relevant and contextual information.

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.

Deep research is capable of handling complex queries that traditional search methods struggle with, such as finding specific markets based on multiple constraints.

AI can ingest vast amounts of information, which is more powerful for B2B software than just generating content.