Kieran Stone
Head of Digital Twin Engineering
Leads development of EnerLith's digital twin architecture, ensuring accurate virtual representations of energy assets and industrial infrastructure at scale.
Energy Digital Twin Platform
Your Energy Infrastructure, Modeled Before It's Built
Model your energy and industrial assets as living digital twins — simulate scenarios, uncover inefficiencies, and optimize operations before touching physical systems.
We use cookies to improve site performance and personalize your experience. Read our Privacy Policy for details.
- 18%
- avg. energy cost reduction modeled
- 40k+
- asset nodes per twin instance
- <3 min
- scenario simulation turnaround
The operating reality
Platform Capabilities Built for Energy Intelligence
EnerLith combines digital twin modeling, simulation, and AI optimization into one platform, helping teams plan, test, and improve energy infrastructure with confidence.
P-01
Energy Digital Twin Engine
Create accurate virtual representations of energy assets and infrastructure, complete with system state tracking, asset relationship mapping, and centralized digital twin management.
P-02
Energy Simulation Engine
Test operational conditions before they happen. Model demand, simulate system behavior, and compare parameters across scenarios to plan with precision and reduce risk.
P-03
Energy Optimization Engine
Uncover efficiency gains automatically. AI-driven analysis surfaces resource and operational optimization opportunities, with performance recommendations ranked by projected impact.
P-04
Industrial Infrastructure Intelligence
Gain full visibility into complex industrial energy systems through asset performance monitoring, infrastructure analytics, operational trend analysis, and proactive capacity planning.
P-05
Digital Twin Operations Dashboard
A centralized command center for energy operations: track active simulations, live performance metrics, asset health, and optimization opportunities in one unified view.
P-06
Scenario Comparison & Decision Intelligence
Evaluate multiple infrastructure and operational scenarios side by side, so teams can make data-backed decisions before committing resources to physical changes.
Platform overview
How EnerLith Transforms Energy Operations
EnerLith turns raw energy and infrastructure data into actionable intelligence: building digital twins, running simulations, and optimizing decisions in one continuous flow.
Connect energy assets, sensors, and infrastructure data sources into a unified digital environment.
Build accurate digital twins that mirror real-world energy systems and operational behavior.
Simulate scenarios and operational conditions to test changes without physical disruption.
Apply AI-driven optimization to recommend the most efficient path forward.
Layer 03
Optimization Layer
Applies AI analysis to simulation results, surfacing efficiency opportunities and ranked recommendations for confident decision-making.
Layer 02
Simulation Layer
Runs operational scenarios and demands modeling on the digital twin, testing conditions safely before real-world implementation.
Layer 01
Digital Twin Layer
Models energy assets and infrastructure into virtual representations, capturing system state, asset relationships, and real-time conditions.
Source systems
SCADA · EMS · Historians · IoT sensors · Metering · CMMS · Market feeds
Platform capabilities
Four engines. One coherent model of your energy system.
Each engine is independently addressable through the EnerLith API and console, and each one reads from the same calibrated twin.
How it works
How EnerLith Turns Energy Data Into Optimized Decisions
01
Data Ingestion
Connect energy assets, sensors, meters, and infrastructure systems, streaming operational data into a unified platform environment.
02
Digital Twin Creation
Build accurate virtual representations of energy assets, capturing system state, relationships, and real-world operating conditions.
03
Infrastructure Modeling
Map physical infrastructure and asset dependencies, creating a detailed foundation for simulation and optimization analysis.
04
Simulation Engine
Run operational scenarios and demand models, testing system behavior under varying conditions without physical disruption.
05
Optimization Analysis
Apply AI-driven analysis to simulation results, identifying efficiency gains and ranking recommendations by potential impact.
06
Decision Intelligence
Deliver clear, data-backed insights so teams can confidently plan, validate, and implement infrastructure changes.
Product showcase
The EnerLith Operations Console.
One command surface for twin state, live simulations, performance telemetry, asset health, and ranked optimization opportunities — powered by calibrated physics models.
enerlith / meridian-energy-ccgt-portfolio
live · synced 8s agoGrid efficiency
94.7%
+2.1% — vs. 30-day baseline
Net generation
638 MW
-3.8% — curtailment event active
Dispatch cost
$34.20/MWh
-11.4% — AI-optimized setpoints
CO₂ intensity
214 g/kWh
-18.3% — vs. regional grid avg
Digital twin topology
9 subsystems · CCGT + PV + BESScalibrated
Active simulation scenarios
- SIM-7821 GT-03 ramp-rate sensitivity — NERC PRC-006 complianceRunning
ETA: ~4 min
- SIM-7818 BESS dispatch optimisation — peak shaving Jul–Sep windowComplete
- SIM-7814 Solar curtailment threshold sweep — 85–110% irradiance bandComplete
- SIM-7809 Substation N-1 contingency — Bus 22 feeder loss scenarioQueued
ETA: next
Modelled savings (YTD)
$163k accumulated · Jan–Aug 2025
Asset health index
- Gas Turbine GT-0388
HRSG upstream
- Transformer TR-22A74
110/33 kV, 150 MVA
- BESS Bank A (LFP)97
48 MWh, SoC 76%
- Compressor K-1159
fuel gas supply
Ranked optimization opportunities
- Thermal
Pre-cool cooling water loop 06:00–07:30 UTC to reduce GT heat rate by 0.4%
$63k / yr
- Transformer
Advance TR-22A tap change schedule to reduce no-load losses at night
$38k / yr
- Compression
Re-sequence K-11 suction valve timing — reduce discharge temp by 8 °C
$24k / yr
Who it's for
Built for Teams Managing Complex Energy and Industrial Systems
Energy Companies
Model, simulate, and optimize large-scale energy generation and distribution systems.
Utility Organizations
Improve grid planning and operational efficiency with digital twin insights.
Industrial Manufacturers
Optimize energy usage and equipment performance across production facilities.
Infrastructure Operators
Monitor and simulate infrastructure health to prevent costly failures.
Energy Engineering Teams
Test infrastructure changes virtually before implementing them in the field.
Facility Management Teams
Track asset performance and identify energy efficiency opportunities in real time.
Industrial Optimization Teams
Use simulation-driven insights to streamline operations and reduce waste.
Research & Development Organizations
Prototype and validate energy models in a risk-free virtual environment.
Leadership
Meet the Team Driving Energy Intelligence
We were built by engineers, energy specialists, and technologists focused on turning complex infrastructure challenges into simulation-driven, optimized operational outcomes.
David Vasquez
Head of AI & Optimization
Drives the AI-powered optimization engine, designing algorithms that turn simulation data into actionable, ranked efficiency recommendations.
Devyn Giles
Head of Energy Systems Engineering
Brings deep energy and industrial domain expertise, guiding platform capabilities to reflect real-world infrastructure and operational needs.
Nicole Hudson
Head of Platform Infrastructure
Oversees the scalable data pipeline and cloud architecture powering EnerLith's simulation and digital twin infrastructure.
Celia Donaldson
Head of Product & Customer Success
Ensures EnerLith's platform delivers measurable value to energy and industrial teams, from onboarding through ongoing optimization.
Field evidence
Real-World Intelligence for Smarter Energy Infrastructure Decisions
EnerLith helps us visualize complex energy systems, test operational scenarios, and make more informed decisions before implementing changes across critical infrastructure.
Irroshan Devapriya
Energy Operations Manager
EnerLith brings digital twins, simulation, and optimization together, giving our team a clearer view of infrastructure performance and potential efficiency improvements.
Jordan Doyle
Industrial Optimization Lead
Using EnerLith, we can evaluate different infrastructure scenarios virtually, helping our team plan changes with greater confidence and reduce operational uncertainty.
Cherith Banda
Infrastructure Planning Director
EnerLith provides a powerful environment for analyzing asset performance, comparing scenarios, and identifying practical opportunities to improve energy system efficiency.
Naomi Rich
Energy Systems Analyst
The calibrated simulation engine inside EnerLith gave our engineering team a reliable way to stress-test dispatch strategies without any risk to live generation assets.
Marcus Osei
Generation Asset Engineer
Flexible Investment
Flexible Plans Built for Every Stage of Your Energy Digital Twin Journey
From single-facility pilots to enterprise-wide deployments, EnerLith scales with your infrastructure needs. Choose a plan that fits your simulation workload, asset complexity, and optimization goals.
Single Facility
Starter Plan
Ideal for teams beginning their digital twin journey with a single facility or asset group.
$499/ month
- Up to 5 digital twin assets
- Standard simulation engine access
- Core energy performance dashboard
- Basic optimization recommendations
- Email support
- Monthly performance reports
Most Popular
Professional Plan
Built for growing teams managing multiple facilities and running advanced optimization workflows.
$1,499/ month
- Up to 50 digital twin assets
- Advanced scenario simulation & comparison
- Full optimization engine with ranked recommendations
- Infrastructure intelligence & capacity planning
- Priority support with dedicated onboarding
- API access for data integration
Enterprise Level
Enterprise Plan
Designed for large-scale operations requiring unlimited assets, custom deployment, and dedicated support.
Customflexible billing
- Unlimited digital twin assets
- Dedicated enterprise deployment & infrastructure
- Custom AI optimization models
- Full API access with SLA guarantees
- Dedicated customer success manager
- Advanced security, compliance & role-based access controls
Get in Touch
Ready to Build Your Digital Twin?
Connect with our energy engineering team. We'll analyze your telemetry data formats, system topology, and operational targets.
Email Inquiry
help@enerlith.netUSA Headquarters
44 Montgomery Street, Suite 1800
San Francisco, CA 94104, USA
Phone: +1 415 555 7624
Asia-Pacific Hub
19 Wijerama Mawatha
Colombo 07, Sri Lanka
Phone: +94 11 271 5086
Start here
Stop testing energy strategy on live infrastructure. Test it on the twin.
Bring one site, one feeder, or one process line. We will stand up a calibrated digital twin and run your first optimization scenario against real operating data.
Enterprise deployment · SSO · On-premise available