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Bright Data’s AI browser targeted at AI agents runs in the cloud, supports natural language prompts, bypasses CAPTCHAs, scripts, and bot defenses and mimics real user behavior to access and interact with the web at scale

July 3, 2025 //  by Finnovate

Bright Data, the world’s #1 web data infrastructure company for AI & BI, has launched a powerful set of AI-powered web search and discovery tools designed to give LLMs and autonomous agents frictionless access to the open web: Deep Lookup (Beta): Deep Lookup (Beta) is a natural language research engine that answers complex, multi-layered questions in real-time, with structured insight. Deep Lookup (Beta) allows users to query across petabytes of unstructured and structured web data simultaneously, surfacing high-confidence answers to complex, multi-layered questions, without code. Unlike general-purpose LLMs that hallucinate or struggle with context, Deep Lookup (Beta) delivers verified, web-sourced insights, with links to cited sources, with structured outputs you can immediately act on—across thousands of verticals. Browser.ai: The industry’s first unblockable, AI-native browser. Designed specifically for autonomous agents, Browser.ai mimics real user behavior to access and interact with the web at scale. It runs in the cloud, supports natural language prompts, and bypasses CAPTCHAs, scripts, and bot defenses, making it ideal for scaling agent-based tasks like scraping, monitoring, and dynamic research. MCP Servers: A low-latency control layer that lets agents search, crawl, and extract live data in real-time. Built to power agentic workflows, MCP is designed for developers building Retrieval-Augmented Generation (RAG) pipelines, autonomous tools, and multi-agent systems that need to act in context, not just passively read.

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Category: Data Economy & Privacy, Innovation Topics

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