Exa
Exa provides a custom-built search engine and in-house vector database accessible via a unified API for AI applications. This platform delivers high-accuracy, low-latency web data retrieval tailored for specific use cases like coding, finance, and recruiting. Enterprises benefit from customizable search filters, robust security compliance, and zero data retention options for grounded AI workflows.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Raised to date
$362MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 4 rounds
+16$250M · Series C
Announced May 2026 · from article date
Disclosed cumulative: $352M
Not on chart (date unknown): Seed $10M
Founders
Product
Problem
AI applications require high-quality, relevant web data, but obtaining this data efficiently can be challenging due to the prevalence of irrelevant content and clickbait on the web. Traditional web scraping and search methods often return imprecise results, requiring significant filtering and manual effort.
Solution
Exa provides a web search API and websets designed to deliver precise and relevant data for AI applications. The API leverages advanced representation learning techniques and a robust crawling infrastructure to retrieve high-quality web data tailored to specific queries. Exa's meaning-based search ensures that users receive exactly the information they need, free from irrelevant content. The platform also offers tools for content retrieval, finding similar links, and automated web research, streamlining the process of data acquisition and analysis for AI models.
Target Audience
Exa targets AI developers, researchers, and companies needing high-quality web data for applications such as RAG, content summarization, competitor analysis, and synthetic data generation.
Features
- Meaning-based search powered by advanced representation learning
- Websets for curated data lists
- API access for programmatic data retrieval
- Content retrieval to obtain clean, parsed HTML from search results
- Functionality to find webpages similar in meaning to a given link
- Automated web research capabilities for structured JSON results with citations
- Integrations with LangChain, LlamaIndex, and CrewAI for RAG applications
- SDKs available in Python, Javascript, and Curl