Inconsistent records across systems
Your CRM, your spreadsheets and your other tools each hold a different version of the same customer, supplier or product. Karg finds the records that match and reconciles the differences.
Stop cleaning
data by hand.
Karg uses AI database agents and specialized machine learning to find duplicates, reconcile inconsistent records and standardize messy data across spreadsheets, CRMs and databases.
Use the Karg platform yourself, or let our team do the work.
The problems we solve
Karg does the data-cleaning work of a data engineer for organizations that don't have one.
Hours spent cleaning recurring exports
Someone fixes the same dates, names and categories by hand every week or month before reporting can start. Karg makes that preparation repeatable, so you only look at what it was unsure of.
Duplicates that undermine reporting
Customers, suppliers or products appear several times under different names or codes, so totals are wrong and outreach doubles up. Karg finds likely duplicates and sends the uncertain ones to you to decide.
Watch Karg clean a messy export
Five contacts from two systems. Karg profiles the file, fixes what it is sure of in three layers, and holds the rest for a person to decide. Watch it run, or try the review yourself.
Illustrative sample data, not a customer's records. .
Want to see the real product screens? Watch how a run works.
How Karg works
Rules handle the straightforward cases, specialized machine learning models the patterns, and AI database agents the ambiguous few. People decide what Karg isn't sure of.
Profile
Karg profiles every column first: what type it holds, which formats it uses, and what looks wrong.
companystring
emailemail
renewaldate?
Plan
It writes a cleaning plan you can read and adjust before anything changes, and you can save it to reuse next time.
trim · normalize
ISO 8601 dates
E.164 phones
Clean
Cleaning runs in three layers: deterministic rules fix the clear cases, specialized machine learning models handle the patterns, and AI database agents reason through the hardest few. Each value goes only as far as it needs.
Review
Every fix gets a confidence score. Anything below the threshold you set waits in a review queue, where approving or rejecting takes one key.
globx.com → globex.com76%
$ 88,500 → 8850098%
Q4 2026 → ?38%
Deliver
Download the clean data with a record of what changed and why, or send it back to where it came from.
clean.csvsigned
change record attachedexport → CSV
Two ways to work with Karg
Let our team do the work, or run the platform yourself. Both use the same cleaning engine.
Karg Applied
Have Karg handle it
Send us your files and tell us what you need. Our team runs them through the same engine, checks the uncertain cases, and sends the data back clean.
- No new software to learn
- No data hire required
- Scoped and priced per project
Karg Platform
Use Karg yourself
Upload or connect your data, answer a few questions, and review what Karg is unsure of. Your team stays in control of every change.
- Self-serve cleaning for your own team
- Confidence-scored fixes and a review queue
- Plans from $30 a month, invite-only today
Where teams use Karg
The same engine, applied to the data jobs that eat the most hours.
- Supplier and product catalogsEvery supplier sends its catalog in its own format. Karg matches the same products across them, standardizes SKUs, units and prices, and hands back one catalog your inventory system can use.Read the use case
- CRM cleanup and migrationDuplicate contacts, mismatched company names and fields in five formats make a CRM hard to trust and harder to move. Karg finds the duplicates, standardizes the fields and documents every change before the data goes into its new home.Read the use case
- Recurring reportsWhen a report pulls from several tools, someone fixes the same dates, names and categories by hand before every cycle. Karg does that preparation the same way each time, and shows you only what it was unsure of.Read the use case
Built to be checked
No one acts on a fix they can't check. Karg is built around review, not blind automation.
Uncertain changes wait for a person
You set the confidence threshold. Anything below it waits in a review queue for you to approve or reject.
Every change is explained
Each fix carries its reason, the layer that proposed it and how sure Karg was, and every job comes with a change log.
Your original stays intact
Karg works on a copy of your data and keeps your original as it was during the job.
AI that keeps nothing
The AI layer runs on open-weight models through zero-data-retention endpoints, so no model provider keeps your data.
Deleted on a schedule
Files and results are deleted within 72 hours after a job ends. Our security page says exactly what we do and what we don't.
Your data is messier than you think.
Tell us what you're working with and we'll show you what Karg would do with it, or request access and run it yourself.
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