Karg
Karg

Stop cleaning
data by hand.

Karg repairs, standardizes, and explains every cell of your messy data, and shows its work. Built for teams who live in spreadsheets, CRM exports, and fragmented sources.

company
email
phone
country
tier
renewal
arr
owner
region
stage
source
score
company
email
phone
country
tier
renewal
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ERR
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ERR
tbd
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n/a
ERR
n/a
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tbd
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??
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ERR
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??
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tbd
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n/a
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dirtyscanningrepaired
Total records repaired
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Avg. confidence
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Issues queued
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Sources supported
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Multi-layer cleaning, from raw row to clean dataset.

01STEP

Intake

Profile incoming columns, infer types, and surface obvious anomalies before any cleaning runs.

companystring
emailemail
renewaldate?
02STEP

Plan

Compose the transformation plan: trims, normalizers, formatters, and per-column rules.

trim · normalize
ISO 8601 dates
E.164 phones
03AGENT

Clean

Cleaning runs in three layers: deterministic rules handle clear cases first, machine learning resolves ambiguous values next, and LLMs step in only for the hardest decisions. Each row escalates only as far as it truly needs.

04STEP

Review

Reviewers approve or reject the lowest-confidence repairs with a one-keystroke queue.

globx.com → globex.com76%
$ 88,500 → 8850098%
Q4 2026 → ?38%
05STEP

Results

Sign off, export to CSV or downstream systems, and keep a full lineage for every cell.

clean.csvsigned
lineage attachedexport → CSV

Your data is messier than you think.

Upload a dataset, set your preferences, and watch Karg clean it line by line, showing its work for every change.