Your data cleaning plan, written for you

Tell AstralRefine where your data lives. It figures out what needs fixing, builds a step-by-step plan, and runs it on a schedule. You stay in control the whole time.

How it works

Two steps to a completecleaning plan

01

It reads your data

When you connect a data source, AstralRefine looks at your columns and figures out what each one actually contains — not just whether it's text or a number, but whether it's an email address, a currency amount, a date, a person's name. It proposes a label for each column and shows you why.

You review the proposals. If something looks wrong, you fix it. One click to confirm.

Column type review
emailjane@acme.comEmail Address98%
amount$1,249.00Currency (USD)95%
created_at2026-03-15Date (ISO)99%
full_nameJane CooperPerson Name92%
Transformation plan
Trim whitespaceAll text columnsHigh
Standardise datescreated_at → ISO 8601High
Validate emailsemail columnHigh
Remove duplicatesBy email + created_atMedium
Quality scoreAll rowsHigh
02

It builds a cleaning plan

Once it knows what your data is, AstralRefine builds a plan: trim extra spaces, standardise date formats, flag invalid emails, drop duplicate rows, score each row for overall quality. Every step is shown to you before anything runs.

You can remove steps you don't want, adjust settings, and add steps the AI didn't suggest. When you're happy with it, you confirm — and from that point on, that plan runs every time your workflow executes.

Preview

See exactly what will change

Before AstralRefine touches your real data, you can preview exactly what the plan will do — on the first 100 rows. Nothing happens until you say so.

Preview results142 rows · 31 changed · 4 removed
Row 3 jane@acme.com jane@acme.comTrimmed whitespace
Row 1203/15/20262026-03-15Standardised date
Row 47not-an-emailFlagged invalid

Scheduling

Set it and forget it

Set a schedule in about 30 seconds. Daily, weekly, monthly — whatever matches your data cycle. AstralRefine fires at the time you set, runs your plan, logs the results, and gets out of the way.

If anything goes wrong — job fails, data looks off, your connector needs re-authorisation — you'll get an email before you even notice.

Use cases

Run your business likea seasoned pro

Business Operator

You receive a supplier data export every Monday morning. You used to spend an hour cleaning it before you could use it. Now AstralRefine runs at 7am, cleans it, and your dashboard is ready when you start your day.

Data Analyst

Your weekly CRM export goes through the same 9-step cleaning process every time. You built a plan once. Now it runs itself, with a quality score attached to every batch.

RevOps Manager

Lead data coming into your CRM used to accumulate formatting problems for months between clean-up campaigns. Now it gets cleaned continuously, on the same schedule your CRM sync runs.

Whatever you're building,
your data is in the right place.

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