Smart Column Renaming
CRUNCH reads your headers and renames them to clean, consistent, machine-readable names. "col_1" and "DATE FIELD" disappear for good.
Stop wrestling with broken columns, mixed formats, and spreadsheet chaos. CRUNCH cleans your data in minutes using Databricks, no technical skills required.
See it in action
| col_1 | Col2 | DATE FIELD | rev$ |
|---|---|---|---|
| Jane doe | Mktg | 01/04/24 | $4,200.00 |
| NULL | marketing | April 1st | 4200 |
| JOHN SMITH | Eng. | 2024-04-03 | $4.2k |
| sarah K. | eng | blank | four thousand |
| full_name | department | date | revenue |
|---|---|---|---|
| Jane Doe | Marketing | 2024-04-01 | 4200.00 |
| Unknown | Marketing | 2024-04-01 | 4200.00 |
| John Smith | Engineering | 2024-04-03 | 4200.00 |
| Sarah K. | Engineering | 2024-04-04* | 4000.00 |
What happens in between
File loaded into a distributed compute frame. Encoding, delimiter, and column count detected automatically.
Claude reads every column header and samples each field. Data types, formats, and semantic intent are mapped.
Dates cast to ISO 8601. Currency stripped to float. Names title-cased. Abbreviations and mixed casing unified.
Nulls and blanks handled by context. Inferred values are flagged with an asterisk and written to a separate log.
Every transformation is committed to a human-readable change log before the clean file is written to output.
What CRUNCH does
No formulas. No scripts. No frustration. CRUNCH runs on Databricks to read your data like a professional and clean it accordingly.
CRUNCH reads your headers and renames them to clean, consistent, machine-readable names. "col_1" and "DATE FIELD" disappear for good.
Mixed dates, currency symbols, abbreviations, and inconsistent casing are detected and unified into one clean, consistent schema.
CRUNCH infers data types, adds source metadata, and flags anomalies so every downstream tool knows exactly what it is working with.
Blanks, NULLs, and dashes are detected and handled. Fill with inferred values, flag for review, or replace with defaults. You decide.
Download clean data as CSV, Excel, or JSON. Pipe directly into your BI tool, CRM, or workflow with zero reformatting required.
Your data never trains our models. All processing runs in an isolated Databricks environment. SOC 2 compliant, GDPR-ready, and built with Pix3l's Responsible Data Stewardship principles.
The process
Drop in any CSV, Excel, or Google Sheet. CRUNCH supports files up to 500MB and accepts data in any state, corrupted headers, mixed formats, all of it.
CRUNCH shows you exactly what it will change before touching a single cell. Approve, adjust, or override each suggestion. You stay in control the whole time.
Download your polished dataset in the format you need. Every change is logged in a human-readable audit trail for full transparency.
Built on AiX principles
CRUNCH is built on Pix3l's AiX design philosophy and powered by Databricks One and Palantir Apollo. That means enterprise-grade distributed compute and operational intelligence do the heavy lifting while you stay in control. Every suggestion is visible, every change is reversible, and every decision is yours to make.
No black boxes. No guesswork. Just clean data you can trust, built the way Pix3l builds everything: research first, humans first, always.
Trey Secord, Founder, Pix3l LLC
Simple pricing
Starter
Perfect for individuals cleaning the occasional dataset or exploring what CRUNCH can do.
Pro
For professionals and small teams who need reliable, repeatable data cleaning every week.
Team
Shared workspaces, admin controls, and priority support for teams that run on clean data.
A Pix3l Product
Stop losing hours to spreadsheet tedium. Start shipping work you are proud of.
No credit card required. Cancel anytime.