Vedex

Vedex

The Command Center for AI & Data Procurement

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@vedex5625
Published on May 6, 2026
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About Vedex

Vedex is the command center for AI and alternative data procurement. Purpose-built for hedge funds, quant teams, asset managers, and enterprise data buyers, Vedex aggregates vendor information from 9+ major data marketplaces and enriches it with AI-powered research. Browse 5,200+ vendors and 3,500+ data products across 120+ categories: from satellite imagery and credit card transactions to ESG, geolocation, and web scraping. Every vendor profile includes a Trust Score (compliance and security), AI Readiness Score (LLM and embedding compatibility), and Pricing Intelligence (normalized benchmarks across tiers). Key features include side-by-side vendor comparison, a compliance matrix, AI readiness leaderboard, geographic coverage mapping, a procurement Data Room for shortlisting, and a JSON API + MCP server for AI agent integration. All vendor data includes provenance tracking and confidence indicators. Unlike closed alternatives, Vedex is fully open and transparent; no account required to browse, no transaction brokerage, and machine-readable profiles (llms.txt) for every vendor and product.

Product Insights

Vedex serves as an open-access intelligence platform for procurement, aggregating information across 5,200 vendors to support AI and data-driven investment strategies. The system provides objective metrics including Trust and AI Readiness Scores alongside normalized pricing benchmarks for institutional data buyers.

  • No account requirements or transaction brokerage for complete transparency and open browsing.
  • Integrated JSON API and MCP server support for direct AI agent and LLM integration.
  • Comprehensive coverage of 120+ specialized categories including satellite and geolocation data.
  • Proprietary scoring systems for vendor compliance, security, and machine-learning compatibility.

Ideal for: Hedge funds, quant teams, and asset managers need a centralized hub to evaluate and procure alternative data sets for investment research.

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