Build institutional-quality financial models — DCF, comps, LBO, and 3-statement — directly from data inputs and SEC filings.
Automates the construction of professional financial models used in investment banking and equity research. Analysts can generate discounted cash flow valuations, comparable company analyses, leveraged buyout models, and integrated 3-statement models with live Excel formulas, sensitivity tables, and sourced cell comments. The plugin also includes presentation QC, data cleaning, and deck refresh tools for end-to-end deal workflow support.
“Build a DCF model for NVIDIA with bear/base/bull scenarios”
Excel workbook with 5-year cash flow projections, WACC calculations, three sensitivity tables, and an implied share price with upside/downside to market
“Run a comps analysis on cloud infrastructure companies — CrowdStrike, Datadog, Snowflake, Cloudflare”
Formatted Excel with operating metrics, valuation multiples, and statistical benchmarks (median, quartiles) across all peers
“Check my pitch deck for number consistency before the client meeting”
Slide-by-slide QC report flagging conflicting figures, stale growth rates, and data-narrative misalignment
Works standalone with web search for financial data. Enhanced when connected to S&P Kensho MCP, FactSet MCP, or Daloopa MCP for institutional-grade data sourcing. Also works inside the Excel Office Add-in for live formula editing.
Retrieves financial data from SEC filings, analyst reports, or connected data providers, then validates inputs against historical trends and cross-references before modeling begins. —
Builds every projection, discount factor, and valuation output as a live Excel formula — never a pre-computed number — so the model updates automatically when any assumption changes.
Structures bear, base, and bull scenarios in separate assumption blocks, using conditional formulas that switch the entire model between cases from a single selector cell. —
Generates sensitivity tables by programmatically writing full DCF recalculation formulas into each cell of a grid, showing how valuation changes across combinations of key assumptions. —
Attaches source citations as cell comments to every hard-coded input, creating an audit trail that traces each number back to a specific filing, page, or data provider. —