It is a business-grade search and crawling tool designed to provide high-quality web data for AI applications and other use cases. Exa enables users to find, enrich, and synthesize web data efficiently, making it ideal for integrating into apps, research tools, and AI systems. It uses meaning-based search to deliver precise and relevant results, supporting tasks like summarizing news, powering Q&A chatbots, conducting competitor analysis, and enriching datasets for sales teams, recruiters, investors, and analysts.
Exa’s API is built to retrieve real-time, reliable web data, which can be integrated with just a few lines of code using Python, JavaScript, or cURL. It offers customizable search capabilities, allowing users to pull in company webpages, articles, or other content from any sector, product, or geography. Example use cases include creating synthetic data, contextualizing large language models (LLMs) with up-to-date information, and building in-app search functionalities.
The platform is trusted by thousands of users and is backed by data, with features like Websets for curated data collections and tools for deep research. Exa is particularly valuable for grounding AI products in real-world data, ensuring models are trained on high-quality information. It is described as “Perplexity-as-a-service,” providing the infrastructure to enhance AI applications with accurate and timely web data.
Exa is based in San Francisco and is designed to power applications with state-of-the-art search capabilities, claiming to be 20x better than traditional search engines like Google. It supports a wide range of customer applications, including web RAG for chatbots, expert writing assistants, fact-checking tools, and recruiting engines. The company is actively hiring and continues to innovate in the field of AI-driven web search.
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