Case Study: APCO Inc achieves faster, lower-cost water treatment optimization with Motomtech’s Digital Twin platform

APCO Inc cuts decision-making time by 30% with Motomtech

APCO Inc, a leader in advanced process control and optimization, faced the challenge of making its promising Digital Twin Python research model accessible to plant operators. The technical script required expertise to run, limiting its real-time usefulness for frontline teams at the Southeast Regional Water Treatment Plant. Partnering with vendor Motomtech and its Technology Department as a Service, the goal was to convert this academic proof-of-concept into a secure and intuitive web application.

Motomtech executed a four-phase engagement to build a scalable web platform, transforming the complex model into an accessible interface. The solution delivered significant results, including a 30% reduction in decision-making time, 3x faster data interpretation, and a 15% reduction in operational costs through predictive optimization. Motomtech successfully turned the research script into a practical, daily tool that helps operators make smarter, data-driven decisions.

APCO Inc