# Dehy **Source:** https://www.startuphub.ai/startups/dehy **Profile type:** Startup > Dehy provides real-time SEC intelligence, structured for AI, by processing primary sources like EDGAR, CFTC, and Federal Reserve data. ## About DEHY offers a real-time intelligence layer over SEC filings, structuring public company filings for AI-powered fundamental research. Its platform provides the Model Context Protocol (MCP) server for querying live filing records via AI assistants and Crest, an AI analyst that builds financial models directly from SEC data. DEHY serves investment professionals, research platforms, and financial AI, including hedge funds, asset management, family offices, and equity research. ## Key facts - **Slug:** dehy - **Website:** https://dehy.io - **Founded:** 2026-05-25 - **Operating status:** Active - **Sectors / tags:** Fintech, Financial Data, SEC Filings, Investment Research, AI Platform, Generative AI, Large Language Model, Retrieval Augmented Generation, API Platform, AI Agent, Natural Language Processing, Data Analytics, Real-time Data, Capital Markets, Hedge Funds, Asset Management, Equity Research, Financial Modeling, AI Search Engine - **Social:** - LinkedIn: https://www.linkedin.com/company/getdehy - Twitter: https://twitter.com/dehyio - GitHub: https://github.com/dehyio ## Frequently asked ### What does Dehy do? DEHY offers a real-time intelligence layer over SEC filings, structuring public company filings for AI-powered fundamental research. Its platform provides the Model Context Protocol (MCP) server for querying live filing records via AI assistants and Crest, an AI analyst that builds financial models directly from SEC data. DEHY serves investment professionals, research platforms, and financial AI, including hedge funds, asset management, family offices, and equity research. ### When was Dehy founded? Dehy was founded in 2026. ### What industry does Dehy operate in? Dehy operates in Fintech, Financial Data, SEC Filings, Investment Research, AI Platform, Generative AI. ## JSON-LD Structured data aligned with this page's `