How it works

Messy data in. Clean, trusted data out. Every change shown.

Upload a messy spreadsheet and Karg profiles it, proposes a fix for each problem, asks a human about anything it is unsure of, and hands back clean data with a full audit trail. Here is the whole process, start to finish.

The five steps

No pipelines to build, and no data engineers required.

Upload

Drop in a messy CSV, Excel, or JSON export.

Profile

Karg scans every column and finds the problems: bad formats, duplicates, typos, and blanks.

Propose fixes

It proposes a fix for each issue, using deterministic rules first and AI only where the data is genuinely ambiguous.

Escalate

Anything it is not confident about goes to a human review queue, never guessed silently.

Export

Download verified data plus a full record of every change and the reason behind it.

See it on real data

One upload, fully cleaned

Karg · customers.csv

Before · your upload

Customer	Status	Signup	Phone	St
Jon Smith	activee	01/02/24	(804) 555-1212	va
Jonathan S.	active	2024-01-02	8045551212	Virginia
Acme Co	cancelled?	2-3-24	555.444.3333	CA
ACME Corporation	canceled	2024/02/03	5554443333	California
M. Rivera	(blank)	March 4 2024	(blank)	ny

After · cleaned by Karg

Customer	Status	Signup	Phone	St
Jon Smith⚑ duplicate?	active	2024-01-02	(804) 555-1212	VA
Jonathan S.⚑ duplicate?	active	2024-01-02	(804) 555-1212	VA
Acme Co⚑ duplicate?	canceled	2024-02-03	(555) 444-3333	CA
ACME Corporation⚑ duplicate?	canceled	2024-02-03	(555) 444-3333	CA
M. Rivera	⚑ needs review	2024-03-04	–	NY

Confident fixes are applied automatically: dates become ISO, phones and states get a single format, and the typo is corrected. Two possible duplicate pairs and one missing status are flagged for human review, never guessed. Every change is written to an exported audit trail.

Trust

Will this break my data?

Your original upload is always preserved.

Karg works on a copy and produces a separate cleaned file. The data you uploaded stays exactly as it was.

Unsure values are escalated, not guessed.

Anything below a confidence threshold is routed to a human review queue instead of being changed silently.

Every change is logged with a reason.

The exported audit trail records what changed, in which column, and why, so you can verify each decision.

Rules run first, AI only where needed.

Predictable, deterministic fixes handle most cells. AI reasoning is reserved for the genuinely ambiguous ones.

Stop cleaning data by hand.

See Karg run on your own messy dataset.

Request early access