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Industries
Data & Analytics
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$27M
Headquarters
San Francisco, California
Founded
N/A
Exa Labs develops an AI-driven search engine that provides precise, real-time data for businesses and developers. Their main product is an API that allows users to easily access high-quality data from the web with minimal coding. This service is subscription-based, offering new users 1000 free searches per month, with additional searches available through paid plans. Exa Labs differentiates itself from traditional search engines by focusing on delivering optimal results rather than relying solely on keyword matching. The company aims to become the primary data source for AI applications, having recently secured $17 million in Series A funding to enhance their search product and expand their market presence.
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Total Funding
$27M
Above
Industry Average
Funded Over
2 Rounds
Industry standards
SAN FRANCISCO, May 21, 2025 /PRNewswire/ -- DeepAI, the trailblazer behind the world's first public browser-based text-to-image generator, is reporting strong year-over-year user growth alongside a major expansion of its generative AI product suite. Recent launches include AI video and music generators, real-time voice chat, and a strategic partnership with Wolfram Research to significantly enhance mathematical reasoning capabilities inside of AI Chat
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Anthropic released Model Context Protocol (MCP) in Nov. 2024. In its seven months of existence, MCP seems to have become the winning protocol choice for the AI industry. Despite the number of companies announcing MCP servers, MCP is technically not a standard. Enterprises that set up MCP servers believe that establishing the infrastructure for interoperability should start now. Many see MCP as one of the main protocols, if not the potential winner, for the agentic ecosystem.MCP is one of the few protocols that have emerged as a way for agents built using one language model or framework to interact with an agent on a different framework
US AI startup Exa has officially launched its new AI search tool, Websets, generating significant industry buzz due to its powerful complex search capabilities and data processing efficiency.
Exa, an AI-focused search engine, raised $17 million in a Series A funding round, backed by NVIDIA's NVentures and Y Combinator. Exa aims to address AI hallucinations by using embedding technology for semantic understanding, offering precise and high-quality search results. Unlike traditional engines relying on keyword matching, Exa's model filters out low-value content, enhancing AI applications' data accuracy and reliability. The company plans to expand its tools for professional users.
Exa, an AI research lab focused on redesigning search, has secured $22 million in seed and Series A funding led by Lightspeed Venture Partners, with participation from NVentures and Y Combinator. This funding will help Exa build a search engine optimized for AI, using embedding models to enhance search precision. Thousands of companies and developers have already integrated Exa's technology, including AI writing assistants and AI research teams at firms like Databricks.
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Industries
Data & Analytics
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$27M
Headquarters
San Francisco, California
Founded
N/A
Find jobs on Simplify and start your career today