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Home»Machine-Learning»Vivid Knowledge Powers LLMs and AI Brokers with Actual-Time Internet Entry to Overcome Bottlenecks
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Vivid Knowledge Powers LLMs and AI Brokers with Actual-Time Internet Entry to Overcome Bottlenecks

Editorial TeamBy Editorial TeamJuly 2, 2025Updated:July 3, 2025No Comments4 Mins Read
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Vivid Knowledge Powers LLMs and AI Brokers with Actual-Time Internet Entry to Overcome Bottlenecks
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Deep Lookup (Beta) is a pure language analysis engine that solutions complicated, multi-layered questions in actual time; Browser.ai is the primary unblockable browser that lets brokers work together with the dwell internet like actual customers; MCP Servers allows brokers to look, crawl, and extract dwell information at scale.

Vivid Knowledge, the world’s #1 internet information infrastructure firm for AI & BI, introduced the launch of a robust set of AI-powered internet search and discovery instruments designed to present massive language fashions (LLMs) and autonomous brokers frictionless entry to the open internet. On the middle of the suite is Deep Lookup (Beta), a pure language analysis engine that solutions impossibly complicated questions with structured, actionable solutions with citations in seconds. Deep Lookup (Beta) rolls out for companies, and most people can be part of the waitlist for later entry.

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Complemented by Browser.ai and Vivid Knowledge MCP (Mannequin Context Protocol) server, the suite is designed to unravel the largest ache factors confronted by strongest AI methods: real-time, unblockable, dependable entry to dwell internet information. These merchandise function the foundational entry layer for AI methods that want to watch, perceive, and act in the actual world in real-time, whereas Deep Lookup (Beta) removes limitations to supply entry to information at scale by means of AI.

“The intelligence of LLMs is not its limiting issue; entry is.”

“The intelligence of LLMs is not its limiting issue; entry is,” mentioned Or Lenchner, CEO of Vivid Knowledge. “We’ve spent the final decade preventing for open entry to public internet information, and these new choices deliver us to the following chapter in our journey, one characterised by really accessible information and the next rise of contextually-aware brokers.”

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The highly effective set of AI-powered internet search and discovery instruments consists of:

  • Deep Lookup (Beta): Deep Lookup (Beta) is a pure language analysis engine that solutions complicated, multi-layered questions in real-time, with structured perception. Deep Lookup (Beta) permits customers to question throughout petabytes of unstructured and structured internet information concurrently, surfacing high-confidence solutions to complicated, multi-layered questions, with out code. In contrast to general-purpose LLMs that hallucinate or battle with context, Deep Lookup (Beta) delivers verified, web-sourced insights, with hyperlinks to cited sources, with structured outputs you may instantly act on—throughout hundreds of verticals.
  • Browser.ai: The business’s first unblockable, AI-native browser. Designed particularly for autonomous brokers, Browser.ai mimics actual consumer conduct to entry and work together with the net at scale. It runs within the cloud, helps pure language prompts, and bypasses CAPTCHAs, scripts, and bot defenses, making it preferrred for scaling agent-based duties like scraping, monitoring, and dynamic analysis.
  • MCP Servers: A low-latency management layer that lets brokers search, crawl, and extract dwell information in real-time. Constructed to energy agentic workflows, MCP is designed for builders constructing Retrieval-Augmented Era (RAG) pipelines, autonomous instruments, and multi-agent methods that have to act in context, not simply passively learn.

Vivid Knowledge’s infrastructure is already powering over 100 million day by day agent actions, and behind the scenes, its Internet Archive maps and collects the web at an unprecedented scale. With over 200 billion uncooked HTML pages and 15 billion extra added month-to-month, Vivid Knowledge helps the whole AI lifecycle: from pre-training and fine-tuning to inference and post-training. Now, with Deep Lookup and its agent-native instruments publicly out there, the corporate is opening the door for builders, startups, and enterprises to construct next-gen AI methods with dwell, structured, and context-rich entry to the net.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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