Driving Smart Sensing & Data Insights with AI
Mastering Asset Health, Leading the Future of Smart Operations
About Us
Derived from the concepts of prognosis and diagnosis, Prognosis Technology was founded in 2018, specializing in Prognostics and Health Management (PHM).
We deeply understand the painful maintenance challenges and severe financial losses caused by unexpected downtime when semiconductor, high-tech, and traditional manufacturing facilities operate under heavy workloads.
To address this, we combine smart MEMS sensors with AI fault diagnostic algorithms to deliver end-to-end solutions spanning Data Acquisition, Health Scoring, and Real-Time Early Warnings.
Prognosis is committed to lowering the barrier to entry for data monitoring—empowering front-line facility managers and field engineers to effortlessly monitor plant-wide equipment health without requiring complex expert knowledge, driving lean operations and achieving zero unplanned downtime.
- 80% Reduction in Unplanned Downtime
- 50% reduction in maintenance costs
- 7–180 days advance warning of equipment anomalies
- 15% Increase in Equipment OEE
Proactive
Predictive
Preventive
Why Choose Prognosis?
100% R&D in Taiwan
Proprietary hardware / software patents and self-developed core technologies.
AI-Driven PHM Diagnostics
Real-time Monitoring & Preventive Maintenance
High-Spec Environmental Adaptability
High-end specifications: Explosion-proof, Anti-corrosion, Heat-resistant, and Anti-interference.
Global Partnership & Market Depth
Partnering with distributors and system integrators to serve Semiconductors, High-tech Manufacturing, and Traditional Industries.
Driving Intelligent Equipment Maintenance to Empower Industry 4.0
Deep Expertise Across Diverse Industrial Sectors
Spanning high-tech manufacturing, heavy industry, and public utilities, Prognosis combines proprietary sensor hardware with AI diagnostic analytics to comprehensively safeguard critical assets across plant-wide facilities and harsh operating environments—ensuring continuous, stable performance for core systems.
