AI-Powered Data Curation
Every record is checked against the organization's own website. Dead links and wrong numbers are caught, duplicates are merged, missing fields are filled, and a human approves every change.
DataClenze does not just tidy formatting. It clears out what is broken, merges what is duplicated, fills in what is missing, and grades every record so the gain is measured, not just claimed.
Every website is checked. The ones that no longer load are flagged and cleared out of your directory.
Phone numbers are confirmed against the organization's own site, so a caller does not reach a dead line.
Near-duplicate entries are resolved into one true record instead of three that disagree with each other.
Blank contact details, hours, and eligibility are filled in from the organization's own source page.
Each record earns a confidence grade you can sort, filter, and audit at a glance.
The app measures your data quality as a live score, so you can watch it climb as records get verified.
Manual phone-and-spreadsheet verification can't keep pace with a moving world. Numbers change, programs close, links die. By the time a team finishes a pass, the front of the list is already wrong again.
The real cost isn't a messy spreadsheet. It's a caller in crisis, at 2am, dialing the shelter line you have on file and reaching a number that was disconnected months ago.
Stale data doesn't fail quietly. It fails the person who needed it most.The two obvious answers each break in their own way. Understanding why is what makes the third answer worth building.
Point a mass-extraction tool at the open web and it will confidently overwrite good data with invented numbers, wrong addresses, and pages that belong to a different org entirely. Speed with no source is just faster mistakes.
Calling every org by hand is accurate on the day it's done and out of date by the next. A human team simply can't re-verify thousands of records fast enough to stay ahead of a world that keeps changing under them.
An AI that edits your records without proof doesn't just risk being wrong. It launders guesses into your system of record, where no one can tell what was verified and what was invented. Trust, once lost, is expensive to rebuild.
AI does the grinding across seven stages. Every proposed change stops at a human gate before it reaches your data. Fast where speed is safe, human where judgment matters.
Every proposed value cites the org's own website. If a change can't point to a real source, it doesn't get proposed. Blank beats invented, always.
The AI proposes. A curator approves. Nothing reaches your data or your system of record without a person deciding it should. Every stage has a gate.
Bronze, Silver, and Gold tiers tell you exactly how well a record is verified, and why. Confidence is earned from real checks, never inflated to look good.
If your work depends on a directory being true when someone needs it, DataClenze was built for you.
When a caller is on the line, the number in front of your specialist has to be right. DataClenze keeps the whole directory current so no one gets routed to a dead end.
Serving older adults and people with disabilities means program details and eligibility have to stay exact. Verification catches the changes before a client does.
Statewide resource inventories that have to hold up to public scrutiny, with an audit trail behind every field.
Small teams, big lists. Do the work of a re-verification department without hiring one.
The referral data you steward reflects on your name. Keep it accurate, and keep the proof of it.
DataClenze moves the slow, mechanical work to the machine and keeps your people on the decisions only a person should make.
Trust isn't a promise on a marketing page. It's a mechanism you can inspect. Here's the mechanism.
Each verified value links back to the exact source it came from. Anyone can open a record and see where the fact was found, not just take it on faith.
When approved changes go to your system of record, DataClenze reads them back to confirm they actually landed. A success message is never mistaken for a saved record.
Every proposal, approval, and edit is logged. Months later you can answer who changed what, when, and on what evidence, without reconstructing it from memory.
Reserved for a real customer quote. No testimonial appears here until a named customer has said it and approved it for use.
See the seven-stage pipeline run on your own data, with a human gate at every step and a source behind every change.