AI for Energy Infrastructure.

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

Keep things moving

An NVIDIA Inception Program Member

NVIDIA Inception Program

Asset-Level Predictive Intelligence.

Renacore predicts failures, quantifies operational impact, and recommends the best intervention window across LNG trains, pipelines, and refineries.

Unplanned Downtime Reduction
Critical Asset Risk Forecasting
Production & Capacity Protection
Renacore
Renacore Predictive Intelligence
LNG Train 03
Data updated: 12:47 UTC
Model Confidence: 93%
Asset Chain
derate risk 33%
MR Comp
Health
Exchanger
Health
Cold Box
Health
BOG
Health
Inferred Causal Chain: MR compressor drift → exchanger approach temp ↑ → efficiency loss
Action window
10–14d
Next best action
Inspect exchanger + seal gas checks to protect capacity and cargo schedule.
now+14d
Expected impact: -4–7% output
LNG Pipelines RefiningSignals → probability → impact → action

Traditional alarms react. Renacore predicts.

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.

Ask Your Operations Data

Query OT and maintenance context across historians, alarms, work orders, and engineering logs. Answers are grounded in your plant data, permissions, and traceable sources.

"What changed before the last compressor trip?"
"Which assets show degradation trends in the last 14 days?"
"Draft a maintenance note with evidence for this alert."
CORE CHAT
What is the derate risk for Train 03 over the next 30 days?
Renacore

Based on historian trends and recent deviations from baseline, projected derate probability is 33% over the next 30 days.

Model Confidence:High

Primary drivers include MR compressor drift and rising exchanger approach temperature.

PI HistorianCMMS Work Orders
Ask a question...
Alarm Change
Trigger
Analyzing Signals
Create Work Order
Action
Evidence Pack
Action

Create Agents

Create automated workflows that assist maintenance and reliability teams - from alert triage to evidence packs and work order recommendations.

  • Runs continuously
  • Enterprise-grade security & auditability
  • Triggers from historian events, alarm changes, or CMMS updates

Works With Your
Existing Tools

Renacore connects directly to the systems your operations already run on: SCADA / DCS, Historians (e.g., AVEVA PI), CMMS, and engineering logs.

Operational Signal Analysis
Derate Risk
33%
Capacity Impact
-4.7%
RenacoreOPERATIONS INSIGHT

Correlated signals across compressor and exchanger indicate an efficiency-loss cascade. Prioritize a work order with supporting historian and alarm evidence.

Turn Signals Into
Intervention Windows

Renacore detects meaningful degradation signals, quantifies operational impact, and recommends the right time to intervene before downtime or derates occur.

Built for Enterprise

Security, compliance, and control at every layer.

Enterprise Security

Advanced data protection and privacy controls

Private Deployment

On-premise or private cloud options

SSO & RBAC

Seamless enterprise authentication