
Paste your weekly FBA numbers — get a complete HTML business dashboard with revenue waterfall chart, true profit after all fees, ACoS/TACoS analysis, SKU performance table, weekly wins and warnings, and a data-driven next week action plan. No API connection needed.

Get a clean per-unit Amazon profit breakdown after every fee — referral, FBA, storage, landed COGS, PPC, and returns. See your true net margin, ROI on cost, and break-even ACoS, plus a sensitivity table and a ranked list of where your money leaks. Built for FBA/FBM sellers pricing new SKUs, auditing margins, comparing suppliers, or checking if a price cut still pays. Estimates from your inputs — verify against Seller Central.

A premium AI financial advisor for CFOs and business leaders that analyzes profitability, margins, costs, cash flow, pricing, and financial risks to deliver clear executive insights and prioritized financial actions.

Builds a polished Excel financial model for any company. Give it a public company ticker (data pulled automatically from Yahoo Finance and SEC EDGAR) or a private company spreadsheet, and it outputs a fully formatted .xlsx with a 3-statement model (Income Statement, Balance Sheet, Cash Flow) plus DCF valuation — 5 years historical, 5 years projected, WACC build-up, and a sensitivity table.

Know which paycheck pays which bill: per-paycheck allocation plans with shortfall warnings, sinking funds, and what-if analysis. Your financial data never leaves your machine.

Build auditable Excel financial models with live formulas, sourced inputs, automated checks, and sensitivity analysis—all generated headlessly with openpyxl.

Turn factory data into a bottleneck, capacity, and layout-risk decision.

Audit RFP and tender packages, trace every requirement to its source, flag proposal gaps, and generate a compliance matrix, prioritized gap report, and submission checklist.

Turn local research hypotheses into traceable evidence. Validate daily CSVs, compare predeclared moving-average strategies with chronological holdouts, stress transaction costs, and independently audit results. Includes a Python standard-library lab, visual HTML reports and optional local Vibe-Trading helpers. Analysis and offline simulation only; no access to real user accounts.