
Who We Are: Engineering & Analytics Experts
Lau Systems Group is a boutique engineering firm dedicated to operational intelligence for mission-critical data centers. Our team of specialists brings a deep background in engineering and data analytics to deliver solutions that enhance efficiency, reliability, and return on investment.
Meet the Experts

Milton Lau, MS Eng & MBA
Systems Architect & Founder
Milton is a transformational systems architect and inventor of Intel’s Effective Utilization (Ue) platform—the company’s first real-time, factory-wide decision-support system that redefined operational efficiency across its global network. He blends engineering rigor and design clarity to deliver intelligent, data-driven solutions that turn complex operations into measurable, sustainable performance.
DAVE MOSGROVE
Operations Leader & Optimization Specialist
Dave is a systems-level problem solver and award-winning operations leader known for turning complex challenges into simple, high-impact solutions. With three decades of experience, he’s led cross-functional teams to design and deploy automation, analytics, and optimization systems that delivered millions in savings and measurable gains in output, quality, and efficiency.
JOSHUA PRICKETT, DCS PhD
Data Science & AI Specialist
Josh advances resilient, scalable operations by fusing software design with early agentic AI pioneered in production data centers. With hands-on work in predictive modeling, autonomous actions, and orchestration, he helps leaders institutionalize proactive readiness before incidents escalate — engineering reliability into the architecture and durable operating models as teams and platforms grow.

Our Engineering Roots
Founded by engineers dedicated to operational excellence, Lau Systems Group combines technical expertise with innovative analytics to deliver reliable, data-driven solutions for mission-critical systems. Our team’s background in engineering enables us to understand complex infrastructure challenges and develop tailored strategies to improve efficiency and reliability.
