Ricerca Films
Ricerca Labs
Know the unknown
The unknown,
made known,
made profitable.
Data scientist in a box. The truth hiding in your own numbers — and the truth pays.
See what you've been missing →
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The problem

The money you're losing is already written down.
So is the growth you're missing.

It's in the register exports, the schedules and the inventory counts you never open — and nobody has time to go get it.

She can feel something's off. The numbers know what. Built for the people responsible for the numbers.
"How do you know that?" Fair question. Watch.
The difference

We don't ask you to trust the numbers.
The numbers carry their proof.

Every number shows its work. Runs on your machine. Never makes a number up.

$10,841,171
Two years of revenue — keep scrolling
Receipt · re-proven on demand
SELECT SUM(line_revenue) FROM sales_transactions -- 136,763 rows · recomputed live -- ✓ matches: $10,841,171.31
Show me a number that proves itself →

Bring one messy export. Watch your own figure show its work — and walk out with the receipt.

It sits on a desk. It works the night shift. No cloud. No login. No excuses.
Three tiers

Pick your unknown.

Savings is profit that doesn't cost you a single new sale — the first thing it finds tends to pay for the box.

The Ricerca machine on a desk
$8,000

Clean Room

Never clean a file again.

  • Messy exports in, analysis-ready out
  • Shows its work — a diff of every change
  • Never phones home
$15,000

Core

The box. The morning brief. Your sharpest operator, daily.

  • Sealed, air-gapped hardware
  • Daily, weekly, monthly business checks
  • Click any number, watch it prove itself
$50,000+

Infrastructure

The whole nervous system, for multi-site operations.

  • The full watcher fleet — revenue, inventory, people, forecasts
  • Every location compared side by side; the site that breaks from the pack gets flagged
  • Host-system scanning is on our published roadmap — we label roadmap as roadmap
Tell me which tier my numbers need →

Not sure if it's the Clean Room or the whole box? Twenty minutes on your own files and you'll know.

How it compares

Why owners decide on the spot.

The market for AI business analytics is crowded, but it splits along lines that leave a clear opening. Cloud tools require handing your financials to an outside server. Local tools that keep data private are general-purpose shells with no business logic. And nearly every product treats fabricated numbers as a problem to reduce rather than one to prevent. Ricerca is the only one that combines every property below in a single product built for an owner without a data team.

Ricerca
Local · Owned
Power BI
Microsoft Cloud
AirgapAI
Enterprise Local
Dot
Cloud Analytics
Querri
Cloud SMB
Runs fully localdata never leaves the machine ~Desktop local; Service is cloud cloud cloud
No data warehouse requiredworks without IT setup ~built around a data model warehouse-connected
Numbers cannot be fabricatedprevented, not merely reduced deterministic gate ~dashboards exact; Copilot not gated general AI ~audit trail only
Source receipt on every figuretraceable to the data ~drill-through to the model ~
Handles messy real-world datacleaning built in ~Power Query, but manual ~expects clean warehouse
Built for a non-technical ownerno data team needed DAX & data modeling enterprise IT data teams
Self-running briefs & auditsa report waiting each morning ~scheduled refresh ~scheduled reviews
Pricing modelown it vs. rent it Own itone machine, no rent Subscriptionper user Enterprise license Subscription Subscription
Yes ~ Partial / conditional No

Each competitor owns one or two of these and misses the rest. Power BI cleans and charts beautifully, but it's a per-seat subscription built for analysts — and its AI can still invent a number. AirgapAI is local but a general enterprise tool. Dot has the audit trail but lives in the cloud and needs a warehouse. Querri cleans messy data but is cloud, subscription, and cannot stop a made-up number. Ricerca is the only product that holds all of them at once.

Competitor capabilities are summarized from publicly available product materials as of June 2026 and are subject to change; verify current details before relying on them for a decision. Ricerca capabilities reflect the built and tested system.

Private data science for everyday business owners. The dentist, the body shop, the trucking outfit — not the Fortune 500.
Revenue Watch Inventory Watch Customer Watch Forecast Watch Operations Watch
Cross Watch Scheduler Lot Counts
Core
Welcome to ground truth.Where every number lands.
Everything orbits the Core.
And the closer you look, the more it knows.
While you slept, it read everything — every file, every shift, every receipt.

What a morning actually looks like.

It noticed the dip

Week of September 8: revenue 28% under its usual pace.

"Worth a look at staffing and inventory for that stretch."

It found why

Two managers left that same week — and on the days you ran short-staffed, sales dipped right along with them.

"A pattern, not proof — but a pattern worth your morning."

It caught the stockout

Your best seller — about $1.6M of sales a year — sat out of stock the entire Black Friday week, and nobody logged why.

"A thin reason over your biggest week is a conversation worth having."

It looks ahead

Father's Day is 21 days out. Last year it ran $24k against a normal-day $17k.

"Staff and stock for it."
Show me what's hiding in my morning →

Your slow week, your stockout, your next holiday — pulled from files you already have.

Ask it anything

Ask a question.
Get an answer that can prove itself.

The morning brief might open: the month finished up 18%, and a stack of regulars hasn't been back in months — a win-back offer is the cheapest sale you'll make. Then you can ask it anything, in plain English.

Ask Ricerca — verified answer
BriefsChecksReportsSourcesAsk Ricerca
Ready
CHATS
Main
Zara Sales Analysis
Q2 Inventory Review
Analyze the attached sales files and give me the useful takeaways.

Useful Takeaways

● verified · every figure carries a receipt

VERIFIEDMen’s apparel generated $35.5M. Women’s generated $3.3M — a 10.8× gap that mirrors the catalog mix.

VERIFIEDThe top item, Plaid Overshirt, accounts for 10,910 units — a 2.38% share of the 457,735 total.

DESCRIPTIVE“Aisle” placements lead revenue, followed by “End-cap” and “Front of Store” — placement is a meaningful lever.

Receipt · 2.38% — item share of total
sourceZara_Sales_Analysis.xlsx
operationSales Volume(item) / total Sales Volume
rows251 · receipt-verified
Go deeper▦ segments▦ outliers▦ relationships▦ concentration
Ask Ricerca…SEND

Ask in plain English. The answer comes back with the math attached — click any gold number and its receipt opens right in the window.

Let me ask my own data a question →

Send your messy export. The first answer comes back with the math already attached.

Inside the build

First we clean your messy files.
Then the charts come from your real numbers.

Bar chart Line chart Donut chart Scatter chart
The morning brief on screen

By the time you unlock the door, the brief is already waiting.

He doesn't guess — he checks. You'll know what changed, and you'll know why.
The promise
Your data never
leaves the building.

No cloud. No accounts. No quiet uploads. Ricerca is a machine that plugs into your network, reads what you give it, and answers to no one but you.

The next step

Bring one messy file.
Leave with its story.

A briefing takes twenty minutes. You'll watch your own numbers prove themselves — and you'll keep the report either way.

Know the unknown, now