Real data, real outcomes, real clients.
A major South Texas energy company was losing $22M annually to unplanned equipment downtime. Broadstone designed and deployed a real-time predictive maintenance system processing 2M sensor readings per hour across 400+ pieces of critical equipment.
The ML model predicted failures 72 hours in advance with 94% accuracy, enabling planned maintenance that reduced unplanned downtime by 62%.
A 200-store retail chain had customer data spread across 40+ disparate systems with zero single customer view. Broadstone built a modern customer data platform that unified all sources, enabling real-time personalization and segment-level analytics.
Revenue per customer increased 28% within 6 months. The platform now processes 4M customer events per day in real time.