AI golden record studio

One trusted source of truth from messy data

Aurum matches, merges and cleans scattered records into a deduplicated golden master. The engine proposes; your data steward reviews, corrects and publishes. Nothing is a black box.

The problem

Why Aurum exists

Dozens of spellings
Duplicate records

The same item is written dozens of ways, so no one knows how many distinct items exist.

~28%
Wrong-field data

Values sit in the wrong columns — a country name in the manufacturer field — corrupting every report.

~20%
Miscoded categories

Category codes disagree with the real category, so spend never rolls up to the right place.

Impossible by hand
No clean master

Cleaning hundreds of thousands of lines by hand is impossible; doing it blindly is untrustworthy.

What it does

Built to do the job, end to end

🔗

Automatic matching

A deterministic engine clusters raw lines describing the same item and collapses duplicates.

🧑‍⚖️

Human in control

Stewards review every match and remove, move, merge, split or edit anything that looks wrong.

🤖

AI on demand

For a bad grouping, the LLM proposes a clean record with a rationale and citations — a human approves.

🗂️

Standard classification

Every record is placed in the UNSPSC taxonomy so spend rolls up by real, standard category.

📊

Quality dashboard

Match rate, unmatched spend, missing attributes and reclassification rate — tracked for sign-off.

↩️

Reversible by design

Steward edits are stored as overrides, never in-place mutation, so any decision can be undone.

How it works

From input to outcome

1Triage and normalize raw lines, repairing wrong-field data
2Enrich deterministically, then call the LLM only where rules fall short
3Resolve entities and cluster the lines describing the same item
4Merge each cluster into one scored record with a quality tier
5Steward reviews, corrects, approves and publishes the master
Who it's for

Made for the people who use it

Data steward

A workbench to review matches, fix the wrong ones and build a clean master they can stand behind.

Head of procurement

A data-quality dashboard with match health, unmatched spend and audit sign-off.

Category manager

Review records by category segment and correct misclassifications in their own domain.

Why Aurum

What sets it apart

Not a black box

Every golden record shows the exact source lines behind it, each flagged by confidence.

Quality tiers

Records are graded publish-ready, usable or too sparse, so only trustworthy data reaches the master.

Explicit re-clustering

Reviewed records never shift silently; logic changes affect future runs, not settled decisions.

Growing knowledge

A brand-authority and reference layer the engine reads on every run and the steward grows over time.

Aurum
AW-rum
Au
The name

Where the name comes from

Aurum is the Latin word for gold and the source of gold’s chemical symbol, Au. The product’s job is to refine raw, messy records into a golden master — the single trusted version worth keeping. The name captures that act of turning noise into something pure and valuable.

Deployment & trust

Yours to control

Every change is logged in a full audit trail, each record carries the lineage of the source lines behind it, and no AI proposal is ever published without explicit human approval.

Get started

See Aurum on your own data

Request a demo to see how Aurum turns your messy records into a golden master your team can trust.