AI for grid flexibility

Turn flexible demand into reliable grid capacity.

NRGsurf uses proprietary behavioral AI to shift electricity demand where and when the grid needs it. We combine customer response with automated assets to reduce peaks and put underused energy resources to work.

Proprietary behavioral AI proven with 12 utilities

Learned from a decade of data with millions of behavioral data points

Customer response and automated assets coordinated into flexibility where it matters-2h-1hnow+1h+2hSIGNALPredictedActual

Customer response

Automated assets

Flexibility where it matters

Proven in the field

Technology proven with 12 utilities.

Up to 48% more energy savings

10,000+ households · 6 countries · randomized field trials

Our technology is grounded in observed customer actions and randomized field trials. The research measures how much more electricity use can change when interventions are matched to the customer and resource type.

Research projects
  • PEAKapp
  • ENCHANT
  • DIALOGUES
Team research experience
  • UC Berkeley
Selected forPlug and Play

San Jose AI Center of Excellence · Batch 4

The capacity challenge

The grid is facing unprecedented challenges.

The data-center boom and electrification are driving demand while grid connections lag. Rising electricity costs, volatile wholesale prices and underused renewable generation make the timing and location of demand increasingly valuable.

$3 trillion

in projects are waiting to connect to the grid.

Grid connection delays are holding back energy projects and limiting growth.

2×

electricity price growth versus inflation.

Average U.S. residential electricity prices rose at more than twice the rate of inflation in 2025. Wholesale prices also fluctuate with demand and fuel costs.

~2× by 2030

Global data-center electricity consumption

is projected to rise from 485 TWh in 2025 to about 950 TWh in 2030.

Use renewable power when it is available.

Solar and wind curtailment is becoming more common in several markets as grids struggle to absorb generation. Shifting demand toward renewable production helps put more of that energy to work.

The NRGsurf opportunity

Shift demand away from constrained hours and toward available capacity and local renewable supply. NRGsurf combines proprietary behavioral AI with automated assets to activate that flexibility.

SourcesColumbia University CGEP, 2026 · U.S. EIA, February 2026 · IEA, Key Questions on Energy and AI, 2026 · IEA, Renewables 2025

The local flexibility challenge

Make customer flexibility count where the grid is constrained.

A demand-response portfolio can contain valuable flexibility that is hard to use for a specific grid constraint. NRGsurf identifies which customers and assets can contribute on the target feeder, selects how to activate them, and measures the delivered response and dollar value of each demand-response event.

Illustrative flexibility event
Grid need
5 MW
Location
Target feeder
Event window
Defined hours

Automated response

Customer response

Expected local flexibility

How much can your grid plan around?

5 MW is an illustrative grid need, not a customer result or performance guarantee.

From need to action

Turn a specific energy need into a flexibility plan.

NRGsurf estimates how automated assets and behavioral response can contribute to a specific need, then turns that intelligence into a plan that can work with existing energy systems.

01Specific energy need

Illustrative flexibility event

5 MW required
Location
Local grid area
Event window
17:00–19:00
Explanatory scenario · not deployment evidence
02NRGsurf intelligence

Decision intelligence

Automated response

Which assets are available?

When are they available? How much can they contribute?

  • EV charging
  • Battery
  • HVAC
  • Controllable loads

Behavioral response

Who is likely to respond?

To which intervention? How much may shift?

  • Incentive
  • Recommendation
  • Timing
  • Information
Expected response · not guaranteed
03Flexibility Plan
Structured decision object
Required response
5 MW
Expected response
Estimated range
Automated contribution
Available capacity
Behavioral contribution
Expected range
Location
Local grid area
Event window
17:00–19:00

Predict the response.Plan the flexibility.Validate what delivered.

04Existing systems

Execute through existing systems

  • Engagement
  • VPP
  • DERMS
  • Device control

NRGsurf intelligence can complement the systems that already execute energy events.

05Actual response

What actually delivered?

Predicted responseActual response

Learn

Observed response can improve the next recommendation.

You understand how it works. Here is how to begin.

NRGsurf

Make flexibility reliable.

Turn flexibility you already have into a resource you can plan around and rely on.