GE Vernova Orchestrate · Atlanta · Booth H
AI Simulation for Critical Utility Decisions
Your Asset Performance Management tells you what's happening. We tell you what to do next.
Cosmo Tech AI Simulation for Asset Investment Planning (AIP) layers on top of your GE Vernova Asset Performance Management (APM) data - so you can model investment scenarios, justify CapEx decisions, and stress-test up to 30-year asset strategies with confidence.
HOW IT WORKS
Why APM and AI Simulation AIP are Better Together
GE Vernova APM
Answers "How are my assets performing today?- Real-time asset health monitoring
- Failure prediction & alerts
- Maintenance prioritisation
- Operational risk visibility
AI Simulation for AIP
Answers "What should we invest in, and why?- Long-range investment scenario modelling
- CapEx justification for board & regulators
- Cost / risk / service trade-off analysis
- 10–30 year strategic horizon planning
KEY FEATURES
Built for Asset-Intensive Organisations
Long-Range Investment Scenario Modeling
Model and compare multiple CapEx investment strategies across 10–30 year horizons — stress-testing each against budget cuts, regulatory shifts, and operational risks before a single dollar is committed.
Cost / Risk / Service Trade-off Analysis and Uncertainty Testing
Quantify what happens to risk exposure and service levels under different budget scenarios, while incorporating uncertainity. If leadership asks "what does a 15% budget cut actually mean?" — this gives a defensible, board-ready answer.
Seamless Integration with Asset Performance Management
Cosmo Tech extends the value of your existing GE Vernova APM investment — no infrastructure change required. Your operational data is enriched and elevated into long-range strategic intelligence.
In Practice
How leading european utilities have applied AI Simulation to real decisions
Energy · Smart Grid
Groupe E: Future-Proofing Asset Investment Planning for a Smart Grid Operator
Groupe E, a Swiss distribution system operator, applied AI simulation to future-proof its investment planning in the face of growing demand volatility, evolving grid topology, and the challenge of justifying long-term decisions to a regulated stakeholder environment.
Energy · Transmission
RTE: Transforming Asset Operations Across France's Electricity Transmission Network
RTE, France's electricity transmission system operator, used simulation to justify a major investment programme to its regulator - demonstrating that scenario-based planning can directly influence regulatory outcomes and unlock budget approval at scale.
Energy · Hydro Power
CNR: Optimising Asset Investment Strategy Across a Complex Hydro Portfolio
CNR, one of France's leading renewable electricity producers, used Cosmo Tech simulation platform as a decision-support tool to optimize investment strategies for its industrial equipmentand ensure alignment among all stakeholders.
Gartner Report
Emerging Tech: Tech Innovators for Intelligent Simulation
This Gartner report highlights how simulation is shifting enterprises from reactive to proactive decision-making across energy and manufacturing. It includes a Cosmo Tech customer example showing how RTE, the French electricity transmission operator, applied simulation-based planning to optimise long-term grid investment (page 11).

From Operational Visibility to Strategic Intelligence
Asset-intensive operators have strong operational visibility. What's missing is the strategic layer — the ability to simulate infrastructure evolution, test investment strategies under uncertainty, and produce capital plans that boards and regulators will stand behind.
This white paper shows why APM and AI-Simulation AIP are better together.
About Cosmo Tech
Cosmo Tech is an AI-Simulation Software company and an expert in prescriptive AI Simulation and Enterprise Digital Twins. Leading companies from the manufacturing, automotive, energy, and transport rely on Cosmo Tech’s combined predictive and prescriptive capabilities to anticipate what’s coming and confidently optimize operations, improve profitability, build resilience and sustainability.