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Build trusted datasets from raw files.

Transform inconsistent source data into governed, export-ready structure with assisted mapping, preview workflows, and schema-centered collaboration.

Get StartedOpen Workspace

AI-Powered Mapping

Map messy columns into your target schema faster with guided AI suggestions.

Schema Governance

Manage field definitions, schema ownership, and edit permissions in one place.

Pipeline Ready Output

Preview, validate, and export cleansed data for downstream analytics and automation.

Before & After

From messy spreadsheets to structured data

Raw messy Excel data before transformation
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Clean structured data in BigQuery after transformation

How-To Guide

Clean data in six steps

AI-assisted schema creation from a natural language description

1. Create Your Schema with AI

Describe the schema you need and let AI generate the field definitions, types, and structure for you.

Uploading raw Excel and CSV files

2. Upload Raw Data

Import raw Excel spreadsheets and CSV files directly — no reformatting required.

AI transforming and mapping raw data to the target schema

3. AI-Powered Transformation

Let AI transform your raw data and automatically determine the mapping to your target schema.

Approval flow for reviewing transformed data before merging

4. Review & Approve

Approve and review transformed data through a structured approval flow before merging into the final dataset.

Exporting final data to BigQuery

5. Export to BigQuery

Push your finalized, cleansed data to BigQuery automatically — ready for analytics and reporting.

Managing schemas across multiple businesses and data types

6. Manage Any Data Type

Organize and govern schemas across multiple businesses, departments, and data types from a single workspace.