Most AI analysis tools assume your data is already clean. It rarely is. Duplicates inflate totals, text-formatted numbers drop out of sums, and inconsistent categories split one group into three. Analysis on unclean data gives confident, wrong answers.
Plumb is a privacy-first data platform. We think AI should do the tedious parts of analysis, like reading every row, spotting patterns and drafting charts, while you keep control of the questions and the conclusions. Every answer Plumb gives points back to the rows and columns it came from, so you can check the work instead of taking it on faith.
How Plumb helps: Clean + analyze in one workflow
Plumb puts cleaning and analysis in one workflow. When you ask a question, it checks the data the answer depends on, tells you about issues that would change the result, and lets you fix them before (or after) seeing the answer. Fixes are saved, so every later question benefits.
How It Works
How cleaning and analysis work together in Plumb.
- Upload your files; Plumb profiles them and flags quality issues.
- Ask a question. Plumb notes any issues that affect it, such as '42 duplicate orders would add 3% to this total'.
- Approve fixes in place without leaving the analysis.
- Plumb re-runs the answer on clean data and shows the difference.
- Every fix is logged, so you can explain exactly how the final numbers were produced.
Where This Helps
Messy exports
Go from a raw export to a trustworthy answer in one session.
Audit trails
Show exactly what was cleaned and why, for finance or compliance.
Recurring analysis
Apply the same cleaning steps automatically to next month's file.
Try Plumb in early access
Plumb is in early access. Join the waitlist on tryplumb.pro to get an invite. Early access covers Excel (.xlsx), CSV and JSON files, and we are adding more sources as people ask for them. Your files are processed privately and are never used to train models.
Clean data, honest answers
Now you have a repeatable way to do it, by hand or with Plumb. Join the waitlist and tell us what your data looks like; we read every reply.
Join the waitlist