Why Public LLMs Miss Critical Business Signals

And How Smart Summaries MCP Grounds AI in a Structured, Time-Aware Event Database

Download the white paper and see how Smart Summaries MCP moves AI beyond conversation and into verifiable, actionable intelligence.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

About this White Paper

Traditional enterprise AI struggles with a growing trust gap. While LLMs excel at fluency, they lack the structure, temporal awareness, and deterministic grounding required for use cases such as supply chain monitoring, risk detection, KYB/KYC, and investment intelligence.

This paper introduces Smart Summaries MCP (Model Context Protocol) — an architectural approach that connects LLMs to Semantic Visions’ proprietary OSINT-driven event database. Instead of guessing from the open web, AI retrieves verified business events, resolved entities, and evolving timelines.

You’ll learn why context quality — not model size — determines AI reliability, and how grounding transforms AI from a creative assistant into a precise analyst.

You’ll learn how to

  • Understand the structural limitations of public LLMs in enterprise decision-making
  • See why time, duration, and entity resolution are critical for actionable intelligence
  • Compare Smart Summaries MCP vs. RAG and web-based retrieval approaches
  • Eliminate hallucinations by grounding AI in taxonomy-driven, audit-grade event data
  • Apply grounded AI to risk, compliance, supply chains, and investment workflows

Who should read this

  • Enterprise AI, data, and analytics leaders
  • Risk, compliance, and third-party risk management teams
  • Supply chain and operational resilience professionals
  • Financial institutions (KYB/KYC, AML, sanctions, onboarding)
  • Investment, M&A, and due-diligence teams
  • CISOs, security leaders, and OSINT practitioners

What’s inside

  • From probability to precision: Why public AI guesses — and grounded AI retrieves
  • The foundation of AI precision: How Smart Summaries MCP works
  • The Duration Differentiator: Why business events must be treated as evolving narratives
  • Side-by-side stress tests: Smart Summaries MCP vs. ChatGPT, Gemini, Perplexity, Meta AI
  • Real-world use cases, including:
    • Proactive multi-tier supply chain monitoring
    • Early warning signals for supplier bankruptcy
    • Perpetual KYB/KYC and automated due diligence
    • Time-sensitive investment opportunity detection

‍

Free Trial

Explore Real-Time Risk Detection in svEye™

See how dynamic event monitoring works in practice. Track supplier and partner risks across jurisdictions, industries, and ownership networks — all in one dashboard.

Start Your Free Trial

Detect regulatory, reputational, and financial risk events in real time.
Explore corporate structures and hidden ownership chains.
Identify early-warning signals before they escalate.

Map Your Competiton
or Monitor Your Supply Chain

Contact us to get a customized competitive analysis tailored to your industry and specific business needs or discover other tiers of your supply chain. Let us help you stay ahead in the market.

Read more