Why use CleanIQ instead of a spreadsheet?

CleanIQ is built to make dataset intake more repeatable by validating CSV and TSV files, storing metadata, and showing data quality signals in one reviewable workspace.

What file sizes and formats does CleanIQ support?

CleanIQ supports CSV and TSV uploads with plan-based file, storage, download, and retention limits.

CleanIQ

AI dataset cleaner for CSV and TSV

AI dataset cleaner for trusted exports

Q: Is my data safe?

CleanIQ uses Firebase Authentication, Firestore rules, and Storage rules to keep user data scoped to the signed-in owner.

CleanIQ profiles messy CSV and TSV files, detects data quality problems, previews the exact fixes, and helps teams ship analysis-ready data with a clean audit trail.

No credit card required

5 MB starter uploads

CSV and TSV supported

CleanIQ Command Center

Synced now

Command center / overview

Data health is clean, current, and export-ready

97.8 QUALITY SCORE

Rows scanned

+18%

128k

Issues resolved

Ready

4,812

Clean exports

+21%

312

Dataset audit table

customers_q4.csv

Column	Signal	AI	Status
Customer Email	17 invalid formats	98%	Fixed
Order Total	6 currency drifts	94%	Review
Signup Date	12 timezone gaps	97%	Fixed
Region	31 casing variants	99%	Fixed

AI cleaning audit

97%

Accuracy

31 transformations verified by policy, audit log, and human review.

About CleanIQ

Built for teams who
refuse to compromise

We started CleanIQ because the hours our team spent wrestling messy spreadsheets could've been spent making discoveries.

Your data deserves better than guesswork

CleanIQ combines machine-learning models with deterministic validation rules to catch issues that no human eye would spot. No code. No config files. Just results.

Quality ProfilingProfiles uploaded CSV/TSV columns and highlights common issues

Metadata StorageStores dataset size, row counts, column counts, and quality score

Review WorkflowKeeps original files intact while review and cleaning flows evolve

Quality Engine

Processing Completecustomers_q4.csv

Quality

97%

Issues

241

Saved

6.2h

Formats

0MB

Limit

Score

Checks

Quality-First Intake

Validates CSV/TSV uploads, profiles columns, and creates quality metadata without changing the original file.

Owner-Scoped Access

Uses Firebase Authentication plus Firestore and Storage rules to keep dataset records scoped to the signed-in user.

Actionable Metadata

Shows quality scores, row counts, file size, and dataset status so the workspace reflects real uploaded data.

Features

A smarter dataset cleaner to
prepare your data

Say goodbye to scattered manual checks. CleanIQ validates CSV/TSV uploads, profiles columns, and gives teams a clearer path from raw files to review-ready datasets.

Deep Quality Detection

Automatically detect column types, missing values, duplicates, and format inconsistencies.

Scanning customers.csv...

82%

128k rows42 issues found

Interactive Audit

Review dataset metadata and quality signals with granular, per-column health reports.

customers_final.csv

email14 issues

total_spendClean

Quality Score

Get an instant, comprehensive health score for your entire dataset.

94%

Health Index

Safe & Secure

Enterprise-grade PII detection and masking roadmapped for deep compliance.

Smart Filtering

Drill down into outliers, anomalies, and statistical drifts with a single click.

12Outliers Found

Instant Export

Ready-to-use CSV and TSV files with a full audit log of every transformation.

.CSV

50+

Issue Types

10x

Efficiency

Plan-based

File Limit

Upload Formats

Workflow

Three steps to clean data

From messy spreadsheet to analytics-ready in under a minute.

STEP 01

Upload Your Data

Drag and drop your CSV or TSV file. CleanIQ validates the file before creating a dataset record.

Plan-based file limits

CSV and TSV

Header validation

STEP 02

Analyze Data Quality

CleanIQ profiles each column, calculates a quality score, and flags common data issues for review.

Data health score (0-100)

Column profiling

Review before exporting

STEP 03

Review and Export

Review dataset metadata and use the export flow while server-side cleaning features are added.

CSV-first workflow

Dataset history

Direct download

Pricing

Simple, transparent pricing

Start free, upgrade when you need more. No hidden fees.

Starter

$0forever

For safely testing CleanIQ with small CSV or TSV files.

5 MB per file
10 files per month
10 cleaning runs per month
100 MB workspace storage
500 MB downloads per month
7-day dataset retention
CSV and TSV upload
Quality scoring

Plus

$29/month

For analysts who need repeatable cleaning workflows.

25 MB per file
100 files per month
200 cleaning runs per month
2 GB workspace storage
10 GB downloads per month
30-day dataset retention
CSV/TSV uploads and Excel exports
Private share links
Priority email support

Pro

$79/month

For teams processing larger operational datasets.

100 MB per file
500 files per month
1,000 cleaning runs per month
20 GB workspace storage
100 GB downloads per month
180-day dataset retention
10 team seats
Public and private share links
Advanced export options

Enterprise

Custom

For governed teams with custom retention and support needs.

Custom monthly volume
Custom storage allocation
Custom download allowance
10-year retention baseline
Dedicated support
Security review support
Custom integrations
SLA planning

Need custom requirements? Contact Sales

Frequently Asked Questions

Honest answers about what is implemented today and what belongs on the roadmap.

Spreadsheets are useful for small manual fixes. CleanIQ is built to make dataset intake more repeatable by validating CSV/TSV files, storing metadata, and showing quality signals that are easier to review in one place.

The current app profiles columns and includes missing-value signals in quality scoring. Automatic fill, masking, and transformation rules should be added through a server-side processing backend so changes can be reviewed and audited.

The data-quality layer can surface common dataset issues, and duplicate detection is a good next production workflow to wire into the cleaning backend. For now, uploaded files are stored with quality metadata rather than silently modified.

The app uses Firebase Authentication, Firestore rules, and Storage rules to keep user data scoped to the signed-in owner. Compliance claims such as SOC 2, GDPR, or CCPA should only be added after the operational controls and legal review are complete.

Uploads currently support CSV and TSV files with plan-based file, storage, download, and retention limits. Excel, Google Sheets, and direct database imports are best handled through Enterprise onboarding.

The current codebase does not yet include a server-side AI cleaning backend. When AI processing is added, suggestions should be previewed first, provider keys must stay server-only, and every applied change should be recorded.

Custom cleaning rules are a strong roadmap item. The safest implementation is to store rules per user or team, run them on the server, and show a before/after preview before applying changes.

The export interface is present, but production exports should be wired to the actual processed dataset output. CSV-first export is the best near-term target because uploads are currently CSV/TSV.

Future-Proof Your Data Workflow
Against Evolving Errors

The foundation of a new era in data infrastructure: secure, scalable, and review-ready.

Start cleaning now View docs