AI-Native Financial Intelligence

The AI that builds
your financial models.

Describe what you need. DeepCell researches the data, writes the formulas, and delivers a live model you can edit, analyze, and export — in the time it takes to write an email.

Example prompts

Build a DCF model for Apple5-year P&L for a SaaS startup with $10M ARRProject finance model for a 200MW solar farmLBO analysis with 5x leverage and 5-year exit
20+Built-in Functions
4Specialized Agents
SECEDGAR Integration
4DDimensional Storage
ExcelFormula Export

What You Can Build

Every financial model, from a single prompt.

Valuations

DCF · LBO · Sum-of-Parts

Full DCF from a company name: revenue projections, free cash flow waterfall, terminal value, enterprise-to-equity bridge, and implied share price. Every number links to an assumption you control.

Forecasts

P&L · Revenue Drivers

Multi-year P&L with revenue by driver, cost structure, margins, EBITDA, and net income. Historical actuals preserved exactly as reported, projections built on top.

Project Finance

Infrastructure · Energy

Sources and uses, debt schedules, coverage ratios, cash flow waterfalls, and sponsor equity returns. The kind of model that usually takes a week, started from a paragraph.

Scenario Analysis

What-If · Multi-Scenario

Base case, bull case, bear case — not as separate tabs, but as a native dimension of the model. Change an assumption in one scenario and compare results side by side instantly.

Executive Reports

Reports · Presentations

Presentation-ready reports with key metrics in bold cards, formatted financial tables, and clean professional styling. Share with anyone — no special software required.

Data Import

Excel · PDF · CSV

Upload a PDF, an Excel file, or a quarterly report. DeepCell extracts the data, structures it, and builds from there. No copying from PDFs, no reformatting tables.

How It Works

Four specialists. One complete model.

You talk to one interface. Behind it, four agents divide the work — planning, researching, building, and presenting. You watch every step unfold in real time.

01
Automated

Research

Gathers market data, industry benchmarks, and comparable company metrics from across the web. Multi-pass with strategic planning and citation management.

02
Automated

Statement Extractor

Connects to SEC EDGAR and pulls audited financials for any US-listed company. Three years of income statement, balance sheet, and cash flow — automatically.

03
Automated

Financial Modeler

Defines line items, writes formulas, sets up assumption blocks, and validates output. Every projection traces back to a named driver with automatic dependency resolution.

04
Automated

Report Builder

Generates presentation-ready reports with metric cards, formatted tables, and professional layout. Ready to share or embed immediately.

Data Model

Data that knows what it means.

In a traditional spreadsheet, A5 = 1,500,000 tells you nothing. Is it revenue? Last year or next year? Base case or optimistic?

DeepCell stores every value with its full semantic context. Four dimensions travel with every number — enabling true multi-dimensional business intelligence.

Item

What it represents: Revenue, EBITDA, Free Cash Flow, WACC

Time

When it applies: FY2023A actual, FY2025E estimated, Q1 2026

Status

Whether it's a historical fact or a forward projection

Scenario

Which assumption set it belongs to: Base, Bull, Bear

dimensional-storage.deepcell

Traditional

A5 = 1,500,000

— no semantic context

DeepCell

Revenue[FY2025E, Projected, Base Case]

= 1,500,000

Item: RevenueTime: FY2025EStatus: ProjectedScenario: Base

Formula References

Revenue[PREVIOUS]

× (1 + Growth[CURRENT])

apple-dcf.deepcell

<!-- Revenue projection -->

<Calculation id="proj_revenue">

<Formula> Revenue[PREVIOUS] * (1 + Growth[CURRENT]) </Formula>

</Calculation>

<!-- WACC -->

<Calculation id="wacc">

<Formula> Ke * (E/V) + Kd * (D/V) * (1 - Tax_Rate) </Formula>

</Calculation>

<!-- Enterprise value -->

<Calculation id="enterprise_value">

<Formula> NPV(WACC, FCF[FY2025E:FY2029E]) + Terminal_Value </Formula>

</Calculation>

Formula Engine

Built for finance. Not for spreadsheets.

Formulas reference values by name, not by cell position. “Revenue last year times one plus growth rate” is how the formula reads — and how it works. No hunting for which cell is $B$47.

Change a growth rate assumption and every downstream line item recalculates in the right order, automatically. The engine handles hundreds of interlinked formulas and resolves circular references through iterative convergence.

20+ Built-in Functions

SUMAVERAGENPVIRRXIRRIFROUNDMAXMINABSSQRTLOGEXPPOWERCOUNTLOOKUP

Why DeepCell

A better workflow. From day one.

Traditional Workflow
With DeepCell

Open blank spreadsheet, spend hours structuring rows and columns

Describe what you need, get a structured model back

Search ten websites for comparable data, copy-paste into cells

AI researches and pulls real financial data automatically

Write formulas by cell reference, debug broken links

Formulas use named references, dependencies resolve automatically

Duplicate sheets for scenarios, manually keep them in sync

Scenarios are a built-in dimension — compare instantly

Email spreadsheets back and forth, lose track of versions

One model, one source of truth, exportable anytime

Spend a day formatting a board presentation

Ask for a report, get a polished result

Full Transparency

See everything the AI does. In real time.

DeepCell doesn't work in a black box. As the agents run, you see every step. Click any model to open it in an interactive viewer. Select a cell to see its formula. Trace where any number comes from. Export to Excel at any time.

  • Which specialist is active and what it's doing
  • What data it's pulling and from where
  • The task list it planned and how far along it is
  • Every file it generates — models, dashboards, exports
  • Cell-level formula inspection and dependency tracing
  • Full Excel export with live formulas that work in Excel
Agent ActivityRunning
Planning research strategyResearch
Searching SEC EDGAR for 10-KExtractor
Extracting income statement FY2023Extractor
Building DCF model structureModeler
Writing projection formulasModeler
Generating reportReporter

Fetched AAPL 10-K (2023)·apple-dcf-model.deepcell

Real Data

When you name a public company,
DeepCell goes to the source.

It looks up the company in the SEC database, downloads the most recent annual filing, and extracts the actual financial statements. Every value is preserved exactly as reported, down to the dollar. Then it layers projections on top — connected to assumptions you can adjust.

01

Name a company

Type any US-listed public company name or ticker symbol.

02

We pull the filings

SEC EDGAR lookup, 10-K download, and financial statement extraction — automatic.

03

Model is built

Actuals preserved exactly. Projections layered on top. Every formula visible.

Get Started

One prompt. A complete model.
Every formula traceable.

Financial modeling hasn't changed in thirty years. It changes today. Start with a description and get a professional, auditable financial model — from a single conversation.