How It Works

Describe the transformations you need. Redbird builds and runs them.

Data is rarely ready to use straight from the source. Redbird's AI agents handle the full spectrum of data prep work — from basic cleaning and formatting to complex multi-source joins, fuzzy matching, AI tagging, and calculated field logic — all driven by plain-language conversation. Every transformation step is logged, explainable, and editable.

Clean and standardize

Remove nulls, fix formatting, deduplicate records, and normalize inconsistent values across your dataset automatically.

Reshape and restructure

Pivot, unpivot, filter, sort, group, and aggregate data into the structure your analysis requires.

Join across sources

Merge datasets from multiple connectors — matching on keys, fuzzy-matching on names, or blending on logic you describe in plain language.

Enrich with derived fields

Create calculated columns, apply business logic, categorize records, or score rows based on rules you define conversationally.

Enrich with AI tagging and extraction

Use AI to tag unstructured data against a defined taxonomy, or extract structured data from entities like charts and tables within documents.

Full step transparency

Every transformation step is shown, explained, and editable — no black box processing.

Transparency

See exactly what was done to your data — and change it if you need to

Every transformation Redbird applies is documented in a step-by-step audit log. You can inspect the logic, edit any step through conversation or point-and-click, and re-run with updated parameters — no rebuilding from scratch.

Explainable steps — every action (filter, join, clean, derive) is described in plain English in the workflow log
Editable at any point — modify a transformation step at any point in the workflow
Rerunnable — update the source data and rerun the same transformation pipeline on demand or on a schedule

Connector Library

Works with data from any source you're already using

Redbird data prep agents operate on data pulled from any Redbird Connector — so you can clean and prep data from Salesforce, BigQuery, Snowflake, Google Sheets, or any other connected source without any intermediate steps or manual exports.

Salesforce Snowflake BigQuery Google Sheets Databricks Redshift PostgreSQL HubSpot + many more

Data Prep Agents

Redbird AI

Clean output data

Analysis-ready

Turn raw, messy data into analysis-ready inputs — automatically

Describe the transformations you need. Redbird builds and runs them.

Clean and standardize

Reshape and restructure

Join across sources

Enrich with derived fields

Enrich with AI tagging and extraction

Full step transparency

See exactly what was done to your data — and change it if you need to

Works with data from any source you're already using

Clean, structured, analysis-ready data — in minutes

Turn raw, messy data into analysis-ready inputs — automatically

Describe the transformations you need. Redbird builds and runs them.

Clean and standardize

Reshape and restructure

Join across sources

Enrich with derived fields

Enrich with AI tagging and extraction

Full step transparency

See exactly what was done to your data — and change it if you need to

Works with data from any source you're already using

Pull data from any source before you transform it

Feed transformed data to Redbird agents for automated analysis

Turn transformed data into polished reports — automatically

Clean, structured, analysis-ready data — in minutes