Capture the reasoning
behind your numbers.
DeepCell captures the logic behind your numbers — every formula, source, and decision — in a file you and your AI can both read, reuse, and build on.
Works everywhere you do
Surfaces
Agents
See it in action
The story of a.deepcellfile.
From a spreadsheet without reasoning to a typed graph an agent can navigate. Two minutes — or skip ahead with the tabs.
| Q1 2025 | Q2 2025 | Q3 2025 | Q4 2025 | |
|---|---|---|---|---|
| Revenue | $2.0M | $2.4M | $3.1M | $3.8M |
| COGS | $0.8M | $0.9M | $1.1M | $1.3M |
| Gross Margin | 60% | 63% | 65% | 66% |
| OpEx | $1.5M | $1.6M | $1.7M | $1.8M |
| Net Income | ($0.3M) | ($0.1M) | $0.3M | $0.7M |
through FY2029
What you just saw
What's in a .deepcell file.
01
Spreadsheets store answers. The thinking is lost.
Every model carries reasoning — why this growth rate, why this scenario, why this allocation. The file preserves none of it. Six months later the formulas remain and the why is gone. AI now produces this kind of artifact faster than humans ever did.
02
Every draft of your thinking, kept as part of the file.
A rough estimate becomes a driver model becomes a unit-economics model — and your AI's contribution becomes the next version, not a separate document. The file knows how the logic evolved, so anyone (or any agent) opening it later can pick up where you left off.
03
A value is never a number. It's a coordinate.
$2M means nothing alone. $2M of Revenue, in Q1 2025, in the Budget scenario, for Dept A — that's a fact. .deepcell stores every value with its full context, so you can pivot, roll up, or filter without rebuilding the model.
04
AI walks the model. It doesn't guess what's in it.
Because every formula, dimension, and dependency is explicit, an agent doesn't search for “Q1 Revenue Budget” — it navigates by name. No embeddings, no fuzzy retrieval, no hallucinated cell references. The model is queryable the way a database is.
05
The thesis behind the rating, not just the rating.
A BUY at $280 is a conclusion. Beneath it sits a thesis, the evidence supporting it, the assumption it depends on, the bear case, and the counter that refutes the bear. .deepcell stores all of it as a typed graph — every claim labeled, every argument traversable, every contradiction explicit.
06
Other formats keep pieces. .deepcell keeps the whole.
PDFs store documents. Spreadsheets store values. RAG retrieves fragments. .deepcell stores facts, logic, and the connections between them — in a single file you and your AI can both edit, version, and reuse.
In production
Built for real financial work.
Global chemicals maker
Cost allocation across plants, products, and cost centers.
→ Every driver traceable back to its source.
Startup incubator
Opportunity screening across the whole pipeline.
→ One consistent screening logic for every deal.
Private equity
Equity valuation and deal diligence.
→ Reuse the model's logic on the next deal.
Hedge fund
Portfolio screening, management, and decisions.
→ One reviewable file the whole desk trusts.
By scenario
Find your scenario.
For analysts / For teams
One file. Two ways to use it.
For analysts
Reuse last year's model in minutes, not days.
Copy a .deepcell file. Update the company name and the period. The formulas use names — they transfer with the logic. Run AI alongside in Excel, or in your terminal with Claude Code.
- Build models faster with AI that actually understands the structure
- Stop fixing #REF! errors when rows shift
- Carry your reasoning between Excel, Claude or any CLI/MCP compatible agent
For finance teams
Your team's reasoning, without the bus factor.
When a senior leaves, the model still knows what the team knows. Cost-allocation logic, forecast drivers, scenario assumptions — all captured in .deepcell, all reviewable, all reusable across subsidiaries and regions.
- Onboard new analysts in hours instead of weeks
- Close the books faster — every variance traces back to its driver
- Run consistent forecasting logic across regions and product lines
Works with your stack
Capture once. Use anywhere.
Spreadsheets & docs
Agents & AI
irm https://beta.deepcell.net/excel-addin/install-addin.ps1 | iexIn customers' words
Already in production.
“Our investment logic used to live in one analyst's head. Now it lives in .deepcell and three analysts can run with it.”
Fund Owner
$1B AUM Hedge Fund
“We deployed the cost-allocation model across 100+ subsidiaries. The logic is the same everywhere — and we can prove it.”
Finance Team
Top Chemical Corporation
Pricing
Pricing that scales with how you use it.
Free
Individual analysts
$0
forever
- Unlimited personal .deepcell files
- Excel, CLI & MCP access
- Use with any AI model
Teams
Finance teams of 3–50
$50
/ user / mo
- Everything in Free
- Shared team library
- Permissions & roles
- Reuse teammates' reasoning
Enterprise
Org-wide deployment
Custom
- Everything in Teams
- Industrial reasoning modules
- On-prem or VPC
- Integration support
All paid plans billed annually. No credit card for Free.
Get started