AgenticNLPConversational AI

Bright Data launches suite of AI tools to give LLMs and agents real-time access to the live web

New product suite includes an unblockable browser, a natural language research engine, and a control layer for AI agent workflows.

As large language models (LLMs) and autonomous agents grow more capable, their biggest limitation isn’t intelligence – it’s access. Today, Bright Data, a leader in web data infrastructure, is launching a new AI-native product suite designed to solve that problem at scale.

The suite includes Deep Lookup (Beta), a natural language research engine that answers complex, layered questions with verified, structured insights. It’s paired with Browser.ai, an unblockable browser built specifically for AI agents, and MCP Servers, a control layer that allows agents to search, crawl, and extract live data in real time.

“The intelligence of today’s LLMs is no longer its limiting factor—access is,” said Or Lenchner, CEO of Bright Data. “These new offerings mark a shift toward truly context-aware agents that can interact with the web as it exists right now.”

A live web stack for the agentic era

Bright Data’s new tools are designed to equip AI systems with real-time, reliable access to web content—something many current models struggle with. Legacy systems often rely on static datasets, cached snapshots, or filtered APIs. Bright Data’s new offerings aim to bypass those bottlenecks entirely.

Key features include: 

  • Deep Lookup (Beta) acts as a natural language interface to petabytes of web data, delivering instant answers with citations from commonly referenced sources. 
  • Browser.ai mimics human behavior to access web environments blocked from the public. 
  • MCP Servers form the low-latency backend for real-time crawling and data extraction. 

The suite already powers over 100 million daily agent actions, with early adopters spanning autonomous tools, RAG pipelines, and real-time analytics systems.

“We’ve spent the last decade fighting for open access to public web data,” Lenchner said. “This launch is the next chapter: one where AI systems can reason, decide, and act based on what’s happening right now—not what happened weeks ago.”

Redefining access in a closed web

As major platforms lock down APIs and make scraping more difficult, Bright Data’s position is clear: public web data should remain accessible. Its tools are built with that mission in mind, offering developers infrastructure to build responsibly at scale.

With the launch of this new suite, Bright Data is positioning itself as the default web layer for AI, giving startups, enterprises, and researchers the ability to build agents that aren’t just smart, but connected.

To learn more or get started, visit brightdata.com.

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