GRIDTWIN ENERGY

Climate intelligence operating system for AI data centers.

Simulate AI load, grid carbon intensity, cooling optimization, avoided emissions, and operational decision support.

Request PilotView Architecture
187.5 MW

Facility load

89,681 tCO2e

Annual avoided carbon

$18.9M

Estimated annual value

14%

Optimization scenario

INTERACTIVE DIGITAL TWIN DEMO

Run AI infrastructure simulation.

Profile Type: Hyperscale AI training campus
Facility Load: 187.5 MW
Annual Avoided Carbon: 89,681 tCO2e/year
Estimated Annual Value: $18,855,938

GRIDTWIN AI RECOMMENDATION ENGINE

Dynamic operational intelligence.

Recommendation 1

Shift flexible AI workloads away from high-carbon operating windows.

Recommendation 2

Use lower-carbon regional windows for compute scheduling.

Recommendation 3

Align optimization with utility demand-response and capacity signals.

PLATFORM ARCHITECTURE

From telemetry to carbon-aware operations.

1
Facility Telemetry
2
Digital Twin
3
Forecast Engine
4
Carbon Model
5
Decision Support

PILOT CUSTOMER INTAKE

Request a GridTwin AI pilot assessment.

Submit your AI infrastructure, energy, or sustainability challenge.

✅ AI load and facility demand forecasting
✅ Cooling and overhead optimization
✅ Carbon-aware workload scheduling
✅ Executive sustainability reporting
✅ Utility / ISO-ready impact analysis