Blue Pencil deduplicates millions of beneficiary records to prevent fraud, and ensure social benefits reach the right people across large-scale assistance programs.
"By leveraging Zingg, we successfully identify leakage by merging duplicate records, improving fraud detection, and optimizing resource allocation. This precision ensures social benefits reach the people who need them most."
Lalit Pagaria, VP of Technology
tāshi
Blue Pencil, owned by tāshi, drives quantifiable social impact by connecting corporations, funding organizations, and execution partners. Data integrity is critical: duplicate beneficiary records mean benefits don't reach the right people.
Managing millions of beneficiary records across multiple social programs with duplicate entries threatened both program integrity and fraud prevention. Manual tools like Google Open Refine and custom Python fuzzy matching were too slow and inaccurate at scale. Without clean identity resolution, resources couldn’t be reliably allocated to the right recipients.
Blue Pencil integrated Zingg into their AWS-based platform using Kubernetes and Apache Airflow for orchestration. Setup took roughly one month, and results were immediately impactful, transforming what had been a manual, error-prone process into a scalable automated pipeline.
Lalit Pagaria, VP of Technology
tāshi
See how Zingg’s AI entity resolution works — accurate, scalable, fraud-resistant.
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