AI Predictive Maintenance: Cutting Downtime & Maintenance Costs for Traditional Manufacturing

Designed for machine tools, food processing, plastics, textiles, metalworking, cement, paper, and heavy industrial sectors. Leverage precision vibration monitoring and AI fault prediction to gain real-time visibility into asset health and maximize production line stability.

Is Your Facility Facing These Operational Challenges?

In an increasingly competitive manufacturing landscape, every unexpected equipment failure triggers massive financial losses.
Yet, many facilities still rely on manual inspections and tribal knowledge—leaving them vulnerable to sudden breakdowns that compromise throughput and product quality.

  • Equipment degradation causes breakdown frequency to surge year after year.
  • Knowledge remains in the heads of veteran engineers, making maintenance hard to standardize.
  • Sudden breakdowns lead to missed shipment deadlines and capacity losses.
  • Time-consuming periodic checks fail to provide real-time asset health visibility.
  • Rising repair expenditures directly erode operational profitability.

Trusted by Nearly 100 Listed Enterprises

Shift from Reactive Firefighting to Proactive Prevention: Pinpoint 21 distinct equipment failure modes to build a high-reliability smart factory.

💰 Prevented NT$10M+ in Downtime Losses

Early anomaly alerts stop catastrophic failures before they cause severe financial loss.

🛠️ 40% Reduction in Wasted Teardown Labor

Precise fault localization eliminates blind equipment disassembly and wasted technician hours.

🎯 95% Anomaly Detection Accuracy

AI-driven vibration analysis rapidly isolates machine defects for maximum warning reliability.

🛡️ TS Explosion-Proof Certified

Complies with strict explosion-proof safety standards, fully applicable to hazardous and harsh industrial environments.

Elevating Asset Reliability & Manufacturing Efficiency

Prognosis Technology combines AI PHM (Prognostics and Health Management), vibration telemetry, and intelligent diagnostic technology to deliver a comprehensive equipment health platform tailored for traditional manufacturing.

By continuously monitoring the operational status of critical equipment in real time, the system delivers early anomaly warnings and precisely pinpoints root causes. This empowers enterprises to minimize unplanned downtime, extend asset lifespans, and boost maintenance efficiency—while optimizing energy efficiency and lowering carbon emissions. Ultimately, it comprehensively elevates production stability, operational profitability, and sustainable competitiveness.

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