CuratedData

Data quality & curation

Data you don’t have to second‑guess.

We clean, reconcile and denoise your data, from spreadsheets to scanned contracts to call recordings. AI agents do the work; people review and approve the changes.

Talk to us →
raw observations× flagged outlier— recovered signal

The questions that come up too late

01Is this an anomaly, or a data error?

Investigated, not deleted.

Outliers are checked against their source. Errors are corrected; genuine events are kept and labelled.

02Is this value missing, or never recorded?

Searched, not invented.

Found in another source, derived with the method shown, or left empty and marked with the reason.

03Why don’t these totals reconcile?

Tied back to source.

Sources are matched, aggregations rechecked, and variances resolved or explained.

04Who decided to change it?

A person makes the call.

Agents flag and propose. A person approves each change, or the rule behind it, and it is logged.

Raw → curated

Agents do the work. A human makes the call.

Acme Corp · monthly revenue · USD
PeriodEntityRawCuratedChangeStatus
2024-01Acme Corp1,204,500
2024-01ACME Corp.1,204,500
2024-02Acme Corp1.31 M
2024-03Acme Corp—
2024-04Acme Corp12,980,000
2024-05Acme Corp2,450,000

Illustrative example. Not client data.

How the method works →

Engagements

Start small. Know what you’re fixing before you commit.

01 · Start here

Data Quality Audit

A fixed-scope, fixed-fee review of one dataset or pipeline. You get a written report: what is wrong, how much it matters, and what fixing it would take.

02 · Scoped after the audit

Curation project

We clean, reconcile and restructure the data, with changes reviewed and logged. You keep the curated data and the rules that produced it.

03 · Monthly

Ongoing monitoring

New data is checked as it arrives. Issues are flagged or fixed before they reach your reports, and you get a monthly quality summary.

How an engagement runs →

Our product

ClarionThinking

A free investment-research platform from CuratedData, running on market data curated with this method: years of history, reconciled, with identified errors corrected and the methods behind its figures documented.

clarionthinking.com ↗

Contact

Send us the data you don’t trust.

hello@curateddata.ai