Bright Data, the world’s leading web data infrastructure provider for AI and business intelligence (BI), has announced the launch of an advanced suite of AI-powered web search and discovery tools. Designed to provide large language models (LLMs) and autonomous agents with seamless, real-time access to the open web, the suite introduces Deep Lookup (Beta)—a cutting-edge natural language research engine capable of delivering accurate, structured, and actionable insights with full source citations in just seconds. Deep Lookup (Beta) is now available to businesses, with a waitlist open for public access in the near future.
The new suite also features Browser.ai and Bright Data’s Model Context Protocol (MCP) server, each addressing critical challenges faced by today’s AI systems: achieving reliable, unblockable, real-time access to dynamic web data. Together, these tools establish a robust access layer for AI systems that need to observe, understand, and take action in the real world. Deep Lookup (Beta), in particular, eliminates barriers to scalable data access, enabling AI to deliver precise insights at unprecedented speed.
“The intelligence of today’s LLMs is no longer its limiting factor; access is,” said Or Lenchner, CEO of Bright Data. “We’ve spent the last decade fighting for open access to public web data, and these new offerings bring us to the next chapter in our journey, one characterized by truly accessible data and the subsequent rise of contextually-aware agents.”
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Bright Data’s AI-powered web search and discovery suite includes:
Deep Lookup (Beta): A revolutionary natural language research engine designed to answer complex, multi-layered questions in real time with structured insights. Deep Lookup (Beta) allows users to query vast volumes of both structured and unstructured web data simultaneously, delivering highly accurate, actionable answers complete with source citations. Unlike traditional general-purpose LLMs that may hallucinate or falter with context, Deep Lookup (Beta) ensures reliable, verifiable insights across a wide range of industries—without the need for coding.
Browser.ai: The industry’s first unblockable, AI-native browser, purpose-built for autonomous agents. Browser.ai replicates human browsing behavior to access and interact with web content at scale. It operates in the cloud, supports natural language commands, and bypasses CAPTCHAs, scripts, and anti-bot measures. This makes it ideal for tasks such as web scraping, continuous monitoring, and dynamic research.
MCP Servers: A low-latency control layer tailored for real-time data extraction. MCP empowers developers to build Retrieval-Augmented Generation (RAG) pipelines, autonomous applications, and multi-agent systems that require contextual understanding and real-time action. It enables agents to not just passively read data but to actively engage with live information streams.
Currently, Bright Data’s infrastructure supports more than 100 million daily actions by AI agents. The company’s expansive Web Archive continuously maps and collects data from across the internet, with over 200 billion raw HTML pages and an additional 15 billion new pages added each month. This extensive resource supports every stage of the AI development lifecycle—from pre-training and fine-tuning to inference and beyond.
With the public release of Deep Lookup (Beta) and its suite of agent-native tools, Bright Data is empowering developers, startups, and enterprises to build the next generation of AI solutions that leverage live, structured, and contextually rich web data.