Exa
Company Information
Headquarters
San Francisco, California, USA
Year Founded
2021
Industries
Artificial Intelligence, Search Technology, Developer Tools, Data Infrastructure, Enterprise Software, Research
What Is Exa?
Exa is an artificial intelligence infrastructure company developing an AI-powered search engine and web search API designed for software applications and autonomous AI agents. Its platform provides access to web information through semantic search, content retrieval, and structured data extraction. Unlike conventional search engines built primarily for human browsing, Exa develops search technology that allows AI systems to retrieve and process information programmatically. Its work combines machine learning, neural information retrieval, and large-scale web indexing to connect AI applications with external information.
What Does Exa Do?
Exa provides web search and data retrieval infrastructure for AI applications. Developers use its APIs to connect language models, AI agents, and enterprise software to information available across the web.
The platform allows applications to search webpages, retrieve relevant content, extract structured information, and investigate topics requiring multiple sources. Rather than relying only on keyword matching, Exa can identify information based on the meaning and context of a search request.
Its services also support automated research and data enrichment, helping organizations gather information about companies, people, market developments, and technical subjects.
For developers building AI assistants, research agents, or retrieval-augmented generation systems, Exa provides an external information source that reduces the need to develop and maintain independent web crawling and search infrastructure.
Exa Technology
Exa develops neural search and semantic retrieval technology designed to make web information accessible to artificial intelligence systems. Its infrastructure combines web crawling, large-scale indexing, machine learning, and APIs that deliver information in formats suitable for automated processing.
The company operates an independent web search index containing billions of webpages. Its retrieval technology uses machine learning models to evaluate the relationship between a search query and available information, allowing applications to identify relevant sources even when they do not contain the exact words used in the request.
Exa combines semantic search with keyword-based retrieval, supporting different search strategies according to the task. Its Search API includes modes optimized for low latency, general-purpose retrieval, and deeper searches requiring additional processing.
The platform also supports content extraction, returning relevant passages from webpages instead of requiring AI models to process entire documents. This can reduce token consumption and improve the efficiency of retrieval-augmented generation workflows.
For more complex research, Exa provides agentic search capabilities that investigate multiple sources and organize findings into structured outputs. These capabilities allow AI applications to perform research involving companies, financial information, scientific publications, and other web-based resources.
Its infrastructure also supports structured data extraction and enrichment, allowing developers to convert unstructured web content into information that can be used by AI agents, databases, and enterprise applications.
Why Exa Matters
Exa is relevant to the growing demand for AI systems that can retrieve current, verifiable information rather than relying exclusively on knowledge contained in pretrained language models.
As AI agents become capable of performing more complex tasks, they require access to external sources such as technical documentation, company information, research publications, and market developments. Search infrastructure is therefore becoming an important component of agentic AI applications.
Exa addresses this requirement by developing search technology specifically for machine-to-machine information retrieval. Its independent web index, semantic search models, and developer APIs illustrate how traditional search technology is evolving into infrastructure for autonomous software.
The company also contributes to the development of retrieval-augmented generation, where AI-generated responses are supported by information obtained from external sources.
Exa Products & Platforms
Exa Search API
Exa Search API provides semantic and keyword-based web search for AI applications and agents. It supports multiple retrieval modes, including Instant, Fast, Auto, and Deep, allowing developers to balance response speed and search depth. Results can include source URLs, relevant excerpts, and structured information suitable for language models.
Exa Contents API
Exa Contents API retrieves webpage text, summaries, highlights, and metadata from specified URLs. It supports content extraction from conventional webpages, dynamically rendered websites, and documents. Developers can use the extracted information to provide relevant context to AI assistants and retrieval-augmented generation systems.
Exa Agent API
Exa Agent API provides automated, multistep web research for complex information-gathering tasks. It combines language models with Exa’s search infrastructure to investigate topics, identify relevant sources, and produce structured results. Applications include company research, market analysis, list building, and data enrichment.
Exa Monitors API
Exa Monitors API enables automated monitoring of web information through recurring searches. It identifies newly discovered results, filters duplicate findings, and delivers updates through webhooks. Developers can use it to track company announcements, funding developments, product releases, and other changes.
Exa Applications
Exa supports applications across AI software development, enterprise research, and information retrieval. Developers use its search infrastructure to give AI assistants and autonomous agents access to current web information, technical documentation, and external sources.
In software engineering, Exa can retrieve programming documentation, repositories, and security advisories. Research organizations can use its APIs to investigate scientific publications, patents, and technical developments.
Its company discovery and data enrichment capabilities support recruiting, sales intelligence, competitive analysis, and investment research. Organizations can identify businesses, research potential customers, and monitor relevant market developments.
Exa also supports financial, legal, and healthcare research applications by retrieving information from public filings, regulations, scientific literature, and other accessible sources.
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Frequently Asked Questions
Does Exa operate its own web search index?
Yes. Exa develops and maintains its own search infrastructure, including web crawling, indexing, and neural retrieval technology. It is not simply an interface that forwards every query to a traditional search engine.
What is the difference between Exa Search API and Exa Agent API?
Search API retrieves relevant web information in response to queries. Agent API performs more complex research by combining multiple searches, investigating sources, and organizing information into structured results.
Can Exa search for companies that meet specific business criteria?
Yes. Exa Agent and Websets can identify companies based on natural-language requirements, such as industry, technology, hiring activity, or business characteristics. Results can be enriched with additional information gathered from web sources.
Can Exa automatically monitor competitors or company announcements?
Yes. Exa Monitors API supports recurring searches that identify new information and deliver updates through webhooks. It can be used to track product launches, company announcements, funding events, and other developments.
Does Exa support enterprise data privacy requirements?
Exa offers enterprise security and privacy controls, including zero-data-retention arrangements and contractual data-handling options. Organizations should review the applicable service configuration and agreements when processing sensitive information.
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