Renacore turns operational data into actionable insights. We help operators optimize performance, reduce downtime, and minimize waste.

Renacore predicts failures, quantifies operational impact, and recommends the best intervention window across LNG trains, pipelines, and refineries.
Traditional monitoring triggers when thresholds are breached. Renacore continuously models asset behavior using OT and historian data to detect early degradation, quantify failure probability, and define the optimal intervention window before performance is impacted.
MR compressor drift detected. Derate probability (30d) increased. Recommended inspection window: 10-14 days.
Exchanger approach temperature rising outside baseline. Projected capacity impact: -4 to -7% if unaddressed.
Correlated signals across compressor + exchanger indicate efficiency-loss cascade. Prioritize work order with evidence.
Query OT and maintenance context across historians, alarms, work orders, and engineering logs. Answers are grounded in your plant data, permissions, and traceable sources.
Based on historian trends and recent deviations from baseline, projected derate probability is 33% over the next 30 days.
Primary drivers include MR compressor drift and rising exchanger approach temperature.
Create automated workflows that assist maintenance and reliability teams - from alert triage to evidence packs and work order recommendations.

Renacore connects directly to the systems your operations already run on: SCADA / DCS, Historians (e.g., AVEVA PI), CMMS, and engineering logs.
Correlated signals across compressor and exchanger indicate an efficiency-loss cascade. Prioritize a work order with supporting historian and alarm evidence.
Renacore detects meaningful degradation signals, quantifies operational impact, and recommends the right time to intervene before downtime or derates occur.
Security, compliance, and control at every layer.
Advanced data protection and privacy controls
On-premise or private cloud options
Seamless enterprise authentication