Case Study: bigfinite achieves compliant, data‑driven manufacturing efficiency with Amazon Web Services

bigfinite Unlocks Potential of Life-Sciences Manufacturing Data Using AWS

bigfinite is a San Francisco–based startup that delivers bigengine, a SaaS analytics platform for biotech and pharmaceutical manufacturing. Facing complex, costly processes and strict regulatory regimes (GxP), manufacturers also struggle with siloed data—Gartner found 70% of life‑sciences manufacturing data goes unused—making compliance, efficiency, and cost control difficult.

Built on AWS, bigengine consolidates disparate sources into a controlled S3 data lake and uses services like AWS IoT, Lambda, Step Functions, Athena, EMR, and machine‑learning tools to run real‑time models for predictive maintenance, process optimization, and anomaly detection. In one deployment, bigengine was trained in two months and prevented further VOC‑emission breaches while cutting cooling energy to 17% of prior usage, helping the customer avoid fines, reduce costs, and improve compliance and productivity.

bigfinite

Pep Gubau

Chief Executive Officer