Case Study: a U.S.-based data intelligence and analytics company achieves privacy-preserving data collaboration with Armakuni

a U.S.-based data intelligence and analytics company ships an AWS Clean Room prototype in 4 to 6 weeks with Armakuni

A U.S.-based data intelligence and analytics company approached Armakuni with a challenge: its existing Redshift ecosystem could not support the privacy-preserving data collaboration it required for working with external partners. The company needed to build a secure AWS Clean Room capability that would enable this collaboration while managing ML workloads and ensuring data governance.

Armakuni conducted an AWS-funded engagement to deliver an operational Clean Room prototype built on services including Redshift, Glue, S3, and Athena. The solution included reusable infrastructure-as-code components, a security governance blueprint, and ML enablement patterns. As a result, the company received a production roadmap and a transferred internal capability, drastically reducing the future engineering cost of onboarding new partners and datasets.