QA/QC Data Intelligence Platform
Upload a spreadsheet or a photo of a spec sheet and get back a validated, scored, cleaned dataset in under 90 seconds. Nine automated checks. No manual auditing.
An Aquarient Data Intelligence Accelerator built for teams managing large product and equipment datasets. Catches what generic data-cleaning tools miss because it knows the difference between a typo and a manufacturer name.
What Is QA/QC Data Intelligence Platform
QA/QC Data Intelligence Platform is an AI-powered data quality accelerator that runs product and equipment datasets, spreadsheets or photographed and scanned documents through nine automated checks, scores the result from 0 to 100, and identifies the manufacturer and category behind any model number across 500+ global brands, without manual review.
The Problem It Solves
From Manual Data QA to Intelligent Validation
Manual Data Auditing
WITHOUT QA/QC
Analysts manually scan thousands of rows for spelling, formatting, duplicates and missing values.
WITH QA/QC
Nine automated checks flag data issues across the entire dataset in one pass.
Data Trapped in Documents
WITHOUT QA/QC
Scanned spec sheets, screenshots and product photos require manual data extraction and re-entry.
WITH QA/QC
Vision OCR extracts fields from images before sending them through the same validation pipeline.
Unknown Model Numbers
WITHOUT QA/QC
A bare model number often means a manual catalogue lookup to identify the manufacturer and product.
WITH QA/QC
Model Number Intelligence identifies manufacturer, category and product type across 500+ brands.
No Clear View of Data Health
WITHOUT QA/QC
Dataset quality is often discovered only after errors reach ERP, procurement or downstream systems.
WITH QA/QC
A 0–100 quality score shows whether your dataset is ready before it moves downstream.
Less manual auditing. More reliable product and equipment data.
How It Works
From Raw Data to QA-Ready Data
STEP 01
Upload
Upload a spreadsheet, image, scan or product photo.
STEP 02
Validate
Run nine automated QA checks across selected fields.
STEP 03
Review & Enrich
Review issues, apply corrections and identify manufacturers.
STEP 04
Score & Export
Get your quality score, QA report and cleaned dataset.
Capabilities & Business Impact
9 Automated QA Checks
Spelling, grammar, capitalization, missing values, duplicates, spacing, repeated words, punctuation and pattern validation.
Vision-Powered Data Validation
Extract and validate information from scanned documents, screenshots and product photos using the same QA pipeline.
500+ Manufacturer Intelligence
Identify manufacturers, categories and product types from previously unlabeled model numbers across global brands.
0–100 Data Quality Score
Measure dataset health across completeness, accuracy, duplicates and formatting before data reaches downstream systems.
Intelligent Issue Explorer
See the original value, suggested correction and confidence score. Accept, edit, dismiss or bulk-fix issues.
ERP-Ready Output
Export cleaned datasets, detailed QA reports and error logs for procurement, ERP and downstream data workflows.
9Automated QA Checks
500+Manufacturers
0–100Quality Score
~90 secFor 1,000 Rows
95%+Duplicate Similarity
Frequently Asked Questions
01
What file types does it accept?
Spreadsheets (XLSX, CSV) and images (PNG, JPG, WEBP, GIF) – screenshots, scanned forms, and product photos through a single upload zone that auto-detects the type.
02
How is this different from a generic data-cleaning tool?
General-purpose spreadsheet AI add-ins and ETL cleansers don’t know a manufacturer name from a typo. This platform ships with a built-in equipment manufacturer knowledge base and Model Number Intelligence across six industries, so it catches “Carier” → “Carrier” without configuration and it runs the same validation on a photographed spec sheet as it does on a spreadsheet.
03
What happens to low-confidence corrections?
They’re flagged in the Issue Explorer with a confidence score for manual review rather than applied silently. Auto-Clean Mode, when enabled, only applies fixes at 90% confidence or higher.
04
Can it identify the manufacturer behind a model number I don't recognize?
Yes. Model Number Intelligence covers 500+ brands across HVAC, kitchen appliances, electronics, automotive, industrial, and medical equipment, returning manufacturer, category, product type, and a confidence score for each entry.
05
What do I get when I export?
A cleaned dataset with corrections applied, a multi-sheet QA report for audit and review, and a flat CSV error log ready for ERP import.
06
Is this a packaged product or a custom build?
It’s an Aquarient accelerator, a proven QA/QC foundation we configure to your data, your manufacturer list, and your validation rules, so you get a working pipeline in weeks, not months.
