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Real-Time Industrial Prediction for Industrial Facilities

Context: Fuel processing facility operating critical equipment 24/7  integrated with legacy PLC/SCADA systems.

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Industry Reality:

- Failures detected after threshold breach

- High breakdown frequency in rotating assets

- Dashboard-driven insight, not forward simulation

- High exposure to unplanned downtime

($100K–$300K+ per hour in process industries)

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The Rimba Impact:

- 20% reduction in unplanned downtime risk

- 40% faster root cause identification

- 5–10% energy optimization during load variation

- 5% extension in asset operational life

- Improved maintenance through predictive analytics

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