Your AI-pipeline analysis

Three decisions, then we build it.

This isn’t a chatbot answer. Every number comes from executed, validated code — reproducible, citable, and yours to re-run on fresh data.

Under 10 seconds

1 · DEPTH — how deep should we go?

Snapshot A quick chart

~2 min200 cr

Brief A comprehensive answer

~7 min500 cr

Deck The full report

30–45 min2500 cr

2 · DATA — what are we analyzing?

Upload a fileOpen existing Paste link or rowsConnect a source

📄 sales_2026.csv

Drop a CSV, Excel, or TSV file or click to browse — no data handy? Run the sample

✓ sales_2026.csv — 1,240 orders × 9 columns

Anything we should know about this data? "Shopify export — 12 months of orders and ad spend"

3 · DESIGN — we read your data, you pick the question

Ask anything about this data…How do I increase sales?

Reading sales_2026.csv (1,240 orders) — profiling your columns…

What's driving my sales?Rank price, ad spend, category and season against revenue

What's my best selling product?Every product ranked by revenue and units, and the gap between them

How do I increase sales?Where the headroom is, and which lever to pull first

Ask the analyst →

3 · DESIGN — the analyst asks before it runs

ANALYSTGood question. Anything specific I should factor in — Christmas is coming up, and are you planning to change ad spend?

Answer or adjust…Yes — holiday push, ad spend up 2x in November

Send

✓ The brief is ready — create your analysis whenever you are.

Create my analysis

4 · TRACK IT — watch your analysis get built

🛰️ Building: How do I increase sales?

Snapshot · sales_2026.csv · about 2 minutes

✓Reading your data
✓Designing the analysis
✓Running the numbers
✓Checking the answer
✓Publishing your report

DELIVERED

How do I increase sales?

Yours to keep, share, and re-run on new data

View report →

DEPTH · DATA · DESIGN — then watch it build, and the report is yours.

1
DepthPick how deep to go — a fast read, a direct answer, or the full study.
2
DataDrop a CSV, reuse one you’ve uploaded, or try the sample.
3
DesignTell the analyst what you want to know, in plain language.

Curious how the analysis actually gets built? Find out more

1 · Depth

How deep should we go?

Pick the deliverable. You can always go deeper on a follow-up run.

Either way, this isn't a chatbot answer — every number comes from executed, validated code. Reproducible, citable, yours to re-run.

2 · Data

What are we analyzing?

Bring it however it lives — a file, a paste, or a connected source.

On your phone? Your data's probably on your computer — see a finished analysis on our sample data first.

Your data — encrypted, private to you, never used to train.

Encrypted on arrival Only you can see it Never used to train

3 · Design

What do you want to know?

Plain language is perfect — our pipeline shapes the formal analysis.

What drives churn in this data? Which factors best predict the outcome? Is the difference between groups statistically real?

Your analysis is building

Track it live →

Tracking shows every stage as it happens — reading your data, running the numbers, checking the answer, publishing — and the report link the moment it lands. Close this tab if you like; we’ll email you when it’s ready.

While it builds — why this beats asking a chatbot

Real execution, not improvisation A chat sandbox writes new code every time you ask — and the answer drifts run to run. Here your data runs through validated R with fixed methodology and fixed seeds: same data, same answer, every time.

You can cite it The report ships with the methodology and the source code behind every number. Hand it to a reviewer, a boss, or a regulator — and let them check the work.

An asset, not a transcript You get a durable, shareable report that lives in your account. Brief and Deck analyses become modules you own — re-run them on fresh data anytime.

Honest by design If a build fails, you're never billed — and we help you get to a delivered report anyway.