Now in open betaAsk a business question. Keep the evidence.See how it works
Schematic AI
Log inStart with a spreadsheet

01 A conversation with your business

Ask the question
you’ve been carrying.

Schematic turns the spreadsheets behind your business into an answer you can follow—from the plain-language question to the source rows underneath it.

Trace your first answer Explore the method
Schematic AI workspace answering Meta Ads spend versus Shopify revenue for Q1 2024 with verified SQL results
Business data, not model memory.Scroll to follow the proof

02 The evidence runway

One question.
Several receipts.

Data work is not a magic trick. Schematic makes the thinking visible without making you do it yourself.

01 / ASK

Say it the way you mean it.

Ask naturally about sales, spend, customers, or whatever is keeping you curious.

02 / CONNECT

Let the tables find each other.

Schematic understands the relationships across files before it reaches a conclusion.

03 / VERIFY

Keep the trail in view.

Every result comes with its source fields and the SQL behind the answer.

QUESTION
SQL
RESULT
Source awareQuestion → source → conclusion

03 Built for the question behind the report

Start where
the uncertainty is.

Shown with its work

Margin held because repeat purchase did.

Schematic relates spend data to product-level contribution, then surfaces the condition that explains the pattern.

See the source trail
Which products held margin as ad spend rose?verified
ANSWERMargin held because repeat purchase did.

Connected from spend, orders, and product tables.

PRODUCTREPEATMARGIN
Core42%+18%
Plus38%+11%
Every answer has an audit path.
Source perspective
orders.csvlinked
PRODUCTREVENUEREPEAT
Core$84,32042.1%
Plus$62,10538.4%
Starter$41,89019.8%
generated.sqlread-only
SELECT product,
  SUM(revenue) AS revenue,
  repeat_rate
FROM orders
WHERE quarter = 'Q3'
GROUP BY product;
2 source tables joined
02
linked tables

04 Trust is not a feature toggle

Every conclusion
keeps its receipts.

Most AI tools leave you with an answer and a feeling. Schematic leaves you with the answer, the query, the source context, and the ability to see if the logic holds.

ChatGPT gives you an answer. Schematic gives you the receipts.

Read-only analysis
Your uploaded data remains unchanged.
Transparent SQL
Inspect exactly how the result was produced.
Review assumptions
Understand the fields and model that informed it.
Verified, not guessed
ChatGPT and Claude can read your file, but they can't show you how they got their answer. Every Schematic result comes with the exact SQL and source rows behind it.

05 Questions, answered

Let’s make
this concrete.

CSV and Excel files from the tools you already use. Upload multiple tables and Schematic connects the relevant context before it responds.

Every answer keeps a clear trail back to the source columns, transformations, and generated SQL used to produce it.

No. Ask naturally. Schematic creates the query, but keeps it visible for the people who want to inspect the details.

Founders, operators, and finance teams who carry important business questions around but do not want to live in a spreadsheet to answer them.

06 Your first question is waiting

Bring your
spreadsheet.

We’ll bring the evidence trail.

Start asking questions No SQL setup. No dashboard build. Just a better next question.