Smart energy rails

We meter every load in a retail store and make the call on it.

The problem

A retail store burns $340K a year on electricity and can't tell you where it goes.

One meter for the whole building. HVAC, refrigeration, lighting and EV chargers all sit behind it.
One bill, once a month. A single number for the entire store.
A 15-minute window sets the whole month. The highest demand interval sets the capacity charge for the next 30 days.
The data arrives aggregated, not system by system. The facilities lead cannot tell which equipment is eating the money.
Without load-level metering, there is no decision to make.
The solution

We meter each load separately and turn every pattern into a priced decision.

01

Meter

Every load in the store, separately and continuously.

02

Learn

How that specific store runs, not how an average building runs.

03

Decide

The exact action and what it is worth per month.

04

Execute

Human-approved first, autonomously after that.

Energy efficiency usually makes the call by looking at the price of power. Glow makes it by looking at how each store runs: its hours, its equipment and its cycles.
How it works

Three systems start together, and those 15 minutes cost $2,600 a month.

Today
160 kW
Staggered 20 minutes
105 kW
The store draws the same kWh and opens at the same time. The starts simply stop landing in the same 15-minute interval, and the peak drops from 160 to 105 kW.
A fixed timer does not solve the operating problem: how far apart starts need to be changes with the weather and that day's operation.
The product

A system that meters, decides and executes on every load in the store.

Store 214 · November
Overlapping equipment starts before opening$2,600
Power factor under 90% on panel 2$1,900
Compressor 4 running 18% above its baseline$1,400
Contracted demand 22% above actual use$1,100
Sales floor lighting on after close$620
Refrigeration hitting peak hours on Thursdays$480
6 open decisions this month$8,100
1

Meters

Load-level hardware at the store's electrical panel.

2

Learns

Models trained on how that store actually runs.

3

Decides

Ranked actions with a dollar value.

4

Executes

Applies the decision on the load. Approved first, unattended later.

Energy management

Make the store's operating patterns actionable.

Glow turns load-level measurement into store-specific decisions, attaches a dollar value to each action and applies approved decisions to the load.

  • Load-level metering
  • Store-specific operating models
  • Ranked, priced decisions
  • Approved first; autonomous later
EV charging · Roaming Hub

Bring charging into the store's energy layer.

Glow's OCPI hub sits between driver apps and charging networks, routing the charging session through one interoperability layer.

  • Credentials, locations, tokens and commands
  • Sessions, CDR routing and all-in pricing
  • Test/live mode and party isolation
  • EV charging inside the energy-management scope
The opportunity

Every store runs dozens of patterns like that, and all of them shift over time.

There are many.

Power factor, contracted demand, peak-hour loads, degraded equipment and off-hours draw.

They shift.

Weather, equipment changes and restock windows change the right decision over time.

They carry over.

Stores in a chain share format, equipment and tariff, so learning can transfer from one store to the next.

Finding one is an audit. Finding all of them, every month, across a thousand stores, is a software problem.
Business model

We charge per metering point, and the contract grows with every system we add.

Fixed fee · every metered load$800–$1,900

Per metering point per year, by store size. EV charging is modeled as the entry point at roughly $3,800 ACV.

Loads that only consumeShare of verified savings

HVAC, refrigeration and lighting: once execution is autonomous, Glow takes a share of savings against baseline.

The load that also sells3% of energy sold

EV charging: on sessions routed over Glow rails. If the session goes another way, Glow does not charge.

The pricing structure is designed to stay under 3% of the site's energy spend and under one quarter of the savings Glow creates.

Why now

Three things moved at the same time.

8–12%

Commercial power tariffs went up.

The deck describes the steepest hike in five years, on top of a decade of increases.

+38%

EV sales grew in Mexico in 2025.

96,636 units sold versus 69,713 the year before; charging points grew 26% to 56,726.

2-in-1

Charging earns instead of only spending.

It is the store system that both consumes energy and generates energy revenue.

The team

The people building this.

Neftaly Ramírez

CEO

13 years in strategy and go-to-market across LatAm. VC-backed founder. Leads the relationship with the e-mobility ecosystem.

Andrés Villaseñor

CTO

Built the system that pulled and analyzed 84,000 utility bills and integrated controllers in 70% of the stores of Mexico's largest retail chain. Founder of Riemann Analytics, a Glow co-founder.

Paolo De Ferari

COO

13 years in corporate finance for infrastructure and energy, and capital raising across LatAm.

Juan Camilo Ramírez

CPO

Sustainable transport advisor to the UN, the UK government and the European Commission.

GreenBee

STRATEGIC PARTNER

Product partner. Its CEO chairs the international body behind the OCPI charging protocol.