Energy & Utilities
Asset lifecycle, regulatory compliance, and sustainability decision intelligence
Predict asset failures, account for carbon across all scopes, model regulatory impact, quantify earnings at risk, and plan climate transition pathways, structured decision science for the energy sector's most complex challenges.
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Energy Models
Scope 0
Carbon Accounting
Predictive
Asset Management
Challenges We Solve
Industry-specific pain points that structured decision models eliminate.
Asset Lifecycle Risk
Aging infrastructure fails unpredictably, causing outages and safety incidents. Predict failure probability from asset condition, age, and operational data to schedule maintenance proactively.
Regulatory Complexity
FERC, NERC, EPA, state PUCs, and emerging climate mandates create overlapping compliance requirements. Model regulatory impact and automate compliance evidence generation.
Decarbonization Pressure
Net-zero commitments require quantified transition plans, not aspirational targets. Account for Scope 1/2/3 emissions and model decarbonization pathways with cost curves and timeline feasibility.
Earnings Volatility
Commodity price swings, weather patterns, and demand fluctuations create earnings uncertainty. Model earnings at risk with Monte Carlo simulation across multiple uncertainty factors.
Use Cases
Industry-specific scenarios powered by DecisionLedger.
Deploys predictive maintenance across 5,000+ transmission and distribution assets, replacing calendar-based inspection with condition-based scheduling driven by failure probability curves.
Reduced unplanned outages 38% and maintenance costs 22% with predictive scheduling
Uses carbon accounting to quantify Scope 1/2/3 emissions across all facilities, then models 3 decarbonization pathways with cost curves, NPV analysis, and SBTi trajectory alignment.
Board-approved transition plan with quantified investment requirements and timeline
Runs earnings-at-risk model with Monte Carlo simulation across commodity prices, weather patterns, demand scenarios, and regulatory changes to quantify P10/P50/P90 earnings uncertainty.
Board receives quantified earnings risk with hedging recommendations and scenario playbooks
Measurable Impact
Based on platform benchmarks across early adopters.
Asset Reliability
Calendar-based maintenance
Predictive condition-based
Carbon Accounting
Annual spreadsheet exercise
Continuous Scope 1/2/3 with uncertainty
Regulatory Compliance
Reactive to rule changes
Proactive impact modeling
Earnings Certainty
Single-point estimates
Monte Carlo P10/P50/P90 bands
Built for Energy & Utilities
Asset intelligence, carbon accounting, and regulatory compliance for the energy transition.
Asset Intelligence
Predictive maintenance across generation, transmission, and distribution assets using Weibull failure modeling and condition-based scheduling.
Carbon Accounting Engine
GHG Protocol-aligned Scope 1/2/3 accounting with EPA emission factors, attribution by facility, and Monte Carlo uncertainty bands.
Regulatory Compliance
Multi-jurisdiction regulatory tracking across FERC, NERC, EPA, and state mandates with automated compliance evidence generation.
Connects With
Part of 150+ native integrations across CRM, marketing, finance, HR, ecommerce, and analytics
NetSuite
ServiceNow
Snowflake
Databricks
Power BI
Tableau
Workday
Jira
Okta
SlackNetSuiteServiceNowSnowflakeDatabricksPower BITableauWorkdayJiraOktaSlackFeatured Models
Pre-built decision models ready to run with your data.
Carbon Accounting Scope Analyzer
GHG Protocol-aligned Scope 1/2/3 carbon accounting with reduction pathway modeling and SBTi trajectory analysis
Climate Transition Risk Model
Monte Carlo simulation of financial exposure from carbon pricing, stranded assets, technology disruption, and policy scenarios
Earnings-at-Risk / Going-Concern Model
Quantifies how much profit and cash is exposed to macro, operational, and market shocks. Produces fragility scores, survival runway, and board-ready risk posture metrics via Monte Carlo simulation and deterministic stress testing.
Maintenance Prediction
Predictive maintenance model. Estimates equipment failure probability based on age, usage hours, and maintenance history to optimize maintenance scheduling and reduce unplanned downtime.
Regulatory Change Impact
Regulatory Change Impact Model - Tests decisions against upcoming regulatory shifts. Cross-references active business decisions with pending regulations to surface compliance gaps, financial exposure, and remediation priorities before deadlines hit.
Supply Chain Risk
Supply chain risk analyzer. Maps supplier dependencies, evaluates single-point-of-failure exposure, and scores overall supply chain resilience to inform diversification and contract negotiation decisions.
Scope Emissions Attribution
Allocates Scope 1/2/3 emissions to decisions, products, business units.
Energy Flow Map
Maps organizational energy flows using network optimization to identify where productive energy is created, where it's lost to friction, and where entropy is highest. Produces department-level energy scores, identifies energy sinks and sources, and recommends structural changes to improve organizational throughput.
How It Works
Three steps to structured, auditable decisions.
Connect Operational & Environmental Data
Pull asset telemetry from SCADA/PI, emissions data from monitoring systems, and financial data from ERP. Map assets, facilities, and regulatory jurisdictions.
Model & Simulate
Run predictive maintenance, carbon accounting, regulatory impact, and earnings-at-risk models with Monte Carlo uncertainty quantification across scenarios.
Comply & Transition
Generate compliance evidence packages, track decarbonization progress against SBTi targets, and model transition investment decisions.
Your utility has 10,000 aging assets, a net-zero commitment, and 4 regulators asking different questions. The answers live in 8 disconnected systems.
Calendar-based maintenance
Inspecting assets on schedule, not on condition, missing 40% of failures between intervals
Consultant-built carbon reports
$200K annual engagement for a static annual snapshot with no scenario modeling
Manual regulatory tracking
Spreadsheet-based compliance monitoring that misses cross-jurisdiction interactions
Standalone SCADA analytics
Operational data without connection to financial risk, carbon, or maintenance decisions