From raw filings to operational intelligence
CMD+RVL organizes complex financial data into connected, usable context — whether you're working with SEC filings, structured-finance deals, or cashflow models.
Each solution can run as part of our managed platform or be deployed inside your own environment.
Get outcomes from EDGAR data — without the chaos
Our EDGAR Knowledge Graph turns filings into structured, queryable, machine-readable context. It links issuers, exhibits, and entities into one navigable model — powering compliance automation, research tools, and AI discovery. Whether you're a data provider or consultant, it's the fastest way to make EDGAR data usable.
Available with an optional MCP (Model Context Protocol) server to securely expose graph context to agents and IDEs (e.g., Cursor) via scoped traversals and prompt‑injection‑resistant endpoints.
Structured Finance, organized for humans and AI
Dealcharts connects every CMBS and ABS deal to its underlying data, entities, and filings — creating a living wiki for the structured-finance market. Each deal page doubles as a verified data product and an AI-training-ready dataset. It shows how context can make even legacy markets transparent and machine-understandable.
Enhanced Cashflow Analytics
CMD+RVL can store the full analytical exhaust from your cashflow runs — whether they come from Intex, Trepp, or proprietary models — directly into a structured context graph. This transforms scattered model outputs into consistent, queryable metadata that supports cross-run analytics, lineage tracking, and AI signal generation. The result: your modeling data becomes reusable infrastructure.
Bring our tools to your stack
Every CMD+RVL component — from ingestion pipelines to our MCP (Metadata Cache Platform) and graph APIs — can be deployed inside your cloud. We integrate with Snowflake, AWS, Databricks, and BI ecosystems so you keep control of your data while unlocking CMD+RVL's context capabilities.
Why CMD+RVL Works
Standing results, minimum lift.