AI-powered data quality

Upload your data.
Find what's wrong.
Understand why. Fix it.

Data Quality AI profiles every dataset you upload, scores it, and flags missing values, duplicates, anomalies, and invalid formats before they cost you a bad decision.

No credit card. Just a CSV.

customers.csvscanning
idemailsignup_datecountryrevenue
1001sam.k@acme.io2024-01-12US$129.00
10022024-01-13US$89.50
1002j.lee@acme.io2024-01-13US$89.50
1004m.diaz@acme13/25/2024CA$210.00
1005k.omar@acme.io2024-01-15$15,200.00
1006r.chen@acme.io2024-01-16UK$76.20
4 issues foundQuality score: 78.4%

The pipeline

From raw CSV to trusted data

Every dataset moves through the same five stages. The first three run the moment you upload.

01

Upload

Drop in a CSV. No schema setup, no config files.

02

Profile

Row and column counts, types, and a quality score computed automatically.

03

Detect issues

Missing values, duplicates, anomalies, and invalid formats flagged by severity.

04Coming soon

Root cause

AI explains why each issue happened, in plain language.

05Coming soon

Fix & export

One-click corrections and a clean CSV ready to download.

Detection

What gets caught

Every issue is tagged with a severity so you know what to fix first.

Missing values

Empty cells and null-like placeholders across every column.

Duplicate records

Rows and keys that repeat when they shouldn't.

Anomalies

Values that sit far outside a column's normal range.

Invalid formats

Malformed emails, dates, and mismatched types.

Severity: High Medium Low

Built with production-grade foundations

Next.jsTypeScriptDjango RESTSimple JWTPandasHttpOnly cookies

Stop guessing what's wrong with your data.

Upload a CSV and get a quality score, a full issue breakdown, and a clear place to start fixing it.