Trust Your Data Again

Here’s a pattern we see constantly: a company buys AI tools, points them at six years of messy records, and gets confident garbage back. The model was never the problem — the data was.

Data classification and cleanup isn’t glamorous. It’s the difference between AI that demos well and AI that ships.

What We Do

  • Data Classification — AI-assisted labeling plus human spot-checks to impose a clean, consistent taxonomy on tickets, records, documents, and content
  • Data Cleansing & Deduplication — profile every field, fix duplicates, fill gaps, standardize formats — in your CRM, warehouse, or files
  • Enrichment — append the firmographic and behavioral data that makes segmentation and scoring actually work
  • Analytics & BI Dashboards — one governed view of the numbers, so teams stop arguing about whose report is right

The 3-Week Cleanup Sprint

Week 1 — Audit: we profile your data and measure duplication, missingness, and inconsistency.

Week 2 — Classify: a clean taxonomy applied with AI-assisted labeling and human verification.

Week 3 — Enforce: validation rules so the mess can’t creep back in.

In one client engagement, this sprint took ticket-routing accuracy from unusable to 91% — without changing a single prompt in the AI model.

Start With an Audit

Message us “CLEANUP” through our contact page and we’ll scope a data quality audit for your team.