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Reflexivity
Data that finally speaks your language

Reflexivity
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What is Reflexivity?

Reflexivity provides a suite of advanced analytic tools accessible through an intuitive, natural language-based user interface. Designed for investors and financial professionals, it allows users to ask complex questions about financial markets and assets in plain English, receiving immediate, data-backed answers. The platform eliminates the need for coding or complex spreadsheet manipulation for sophisticated analysis, making institutional-grade tools more accessible.

Powered by advanced analytical engines and a comprehensive knowledge graph, Reflexivity facilitates deep exploration of financial data. Users can test market hypotheses across thousands of assets, screen securities, and uncover hidden relationships, exposures, and connections between organizations. It aims to enhance decision-making by providing robust data analytics and insights for asset management, capital markets, wealth management, and brokerage sectors.

Features

  • Natural Language Interface: Query data and run analytics using plain English.
  • Institutional-Grade Analytical Engines: Perform robust data analysis and hypothesis testing.
  • Knowledge Graph: Explore hidden relationships, exposures, suppliers, and geographies for assets.
  • Scenario Testing: Test hypotheses on over 40,000 individual assets or groups without coding.
  • Asset Intelligence: Gain AI-derived insights across thousands of global assets.
  • Chart Exploration: Visualize and explore data through interactive charts.
  • Idea Discovery: Uncover potential investment opportunities and insights.

Use Cases

  • Testing market hypotheses without coding.
  • Screening securities and identifying investment opportunities.
  • Discovering asset exposures, suppliers, and connections.
  • Enhancing productivity for financial analysts and portfolio managers.
  • Providing AI-derived insights for wealth advisors and clients.
  • Accessing answers instantly from research documents and fact sheets via multi-modal search.
  • Conducting portfolio analysis using natural language.

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