DataRedeemer

AI-powered data cleaning for community resource databases

Transform messy ADRC and 211 organizational data into clean, standardized records. Our seven-stage process brings in your resources, removes duplicates, checks websites, proposes updates from source pages, applies your approved changes, improves descriptions and categories, and runs a final quality check. A human reviews every critical step.

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Built for Data Quality

Everything you need to clean, enrich, and maintain community resource data at scale.

Seven-stage cleaning pipeline

  • Maps incoming columns
  • Removes duplicate records
  • Checks every website is live
  • Reads source websites for missing information
  • Applies your approved changes
  • Writes descriptions and sorts categories
  • Runs a final quality check

Human-in-the-Loop

AI handles the heavy lifting, but humans make the final call. Our review queue surfaces low-confidence decisions for expert review, ensuring data quality without bottlenecks.

Multi-Format Export

Export your cleaned data in the format you need. Supports CSV, Excel, JSON, and 211 Ops Center formats for seamless integration with your existing systems.

How It Works

Four simple steps from raw data to clean, verified records.

1

Import Records

Select organizational records from 211 OpsCenter.

2

AI Processing

Our seven-stage pipeline cleans, enriches, and validates every record.

3

Review & Approve

Review flagged items in the human-in-the-loop queue.

4

Export Clean Data

Download your verified, standardized data in any format.