Bright Data, a leading web data infrastructure provider, has launched a suite of AI-powered tools designed to enhance real-time web access for large language models (LLMs) and autonomous agents. The suite, comprising Deep Lookup (Beta), Browser.ai, and MCP Servers, addresses critical bottlenecks in accessing live web data, enabling AI systems to deliver contextually relevant insights at scale.
Bright Data launches AI-powered web search and discovery tools.
Deep Lookup (Beta) answers complex questions with structured insights.
Browser.ai enables unblockable web interactions for AI agents.
MCP Servers support real-time data search, crawling, and extraction.
Powers over 100 million daily agent actions with a vast web archive.
Enhances AI lifecycle from pre-training to inference.
Deep Lookup (Beta) is a natural language research engine that tackles complex, multi-layered questions in real time, delivering structured, actionable answers with citations. Unlike general-purpose LLMs prone to inaccuracies, Deep Lookup queries petabytes of web data to provide verified insights across thousands of verticals, making it ideal for businesses seeking precise, code-free solutions. It is available now for enterprises, with public access via a waitlist.
Browser.ai, the industry’s first unblockable AI-native browser, mimics human behavior to enable seamless web interactions. Running in the cloud, it supports natural language prompts and bypasses CAPTCHAs, scripts, and bot defenses. This tool empowers autonomous agents to perform scalable tasks like web scraping, monitoring, and dynamic research, ensuring reliable access to even the most protected websites.
Bright Data’s MCP (Model Context Protocol) Servers provide a low-latency control layer for real-time data search, crawling, and extraction. Designed for developers building Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems, MCP Servers enable AI agents to act on live data, enhancing contextual awareness and operational efficiency in agentic workflows.
Bright Data’s infrastructure supports over 100 million daily agent actions, underpinned by a web archive containing over 200 billion HTML pages, with 15 billion added monthly. This vast repository fuels the entire AI lifecycle, from pre-training and fine-tuning to inference and post-training, enabling developers and enterprises to build next-generation AI systems with unparalleled data access.
“The intelligence of today’s LLMs is no longer its limiting factor; access is,” said Or Lenchner, CEO of Bright Data. The company’s decade-long commitment to open web data access has culminated in this suite, designed to empower contextually aware AI agents. By overcoming barriers like anti-bot defenses and data restrictions, Bright Data’s tools position developers, startups, and enterprises to innovate in AI-driven applications.
Bright Data’s new suite marks a significant advancement in AI web data access, enabling real-time, reliable, and scalable solutions for LLMs and autonomous agents. With Deep Lookup, Browser.ai, and MCP Servers, the company is paving the way for context-rich AI systems that can transform industries.
Bright Data, the world's #1 web data infrastructure company for AI & BI. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data's solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
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