VoltIQ energy-aware ai compute

The control layer for energy‑aware AI compute.

AI is the largest new electrical load on Earth, and almost all of it is scheduled as if power were free and clean. VoltIQ schedules flexible AI workloads around real-time price, carbon, and grid signals, so every training run, batch job, and pipeline lands in the best window the grid offers.

  READ-ONLY START · NO HARDWARE · NO PROCUREMENT CYCLE

Wholesale price · 24hillustrative
Price
5–10×

Intraday wholesale price swings on the same wire in ERCOT and PJM this is invisible to today's schedulers.

Carbon
3–5×

Hour-to-hour swings in grid carbon intensity, flattened into annual averages by scope-2 reporting.

Bill
30–50%

Of a typical AI data-centre bill is demand charges and price-exposed energy, the part flexibility can move.

01 the problem

AI workloads are scheduled like power is free and clean. It isn't either.

Every flexible workload: training, batch inference, simulation, rendering, ETL runs blind to the price, carbon, and grid signals on the same wire.

Capacity

Megawatts are the wall. Interconnect queues run years long, operating smarter is the only lever left.

Blind spend

The same job, hours apart, can cost and emit several times more at the evening peak than overnight.

Grid value

Flexibility markets are opening — ERCOT 4CP, PJM ELRP and more — but participating is operationally hard without workload-aware software.

scheduler · live feed
VOLTIQ WATCHING · 4 SHIFTABLE JOBS FLAGGED · ILLUSTRATIVE
02 the platform

Three layers. A diagnostic that earns trust, recommendations that prove value, reporting that closes the loop.

LAYER01

Diagnostic

Ingests your power prices, grid carbon intensity, and workload metadata. Identifies cost, carbon, and flexibility windows across your fleet. Read-only, no integration burden.

DIAG
LAYER02

Recommendation

Surfaces shift opportunities with quantified savings, carbon impact, and operational risk. Your operators approve or reject every move — human in the loop, always.

RECO
LAYER03

Reporting

Audit-ready cost, carbon, and flexibility reports mapped to SEC climate disclosure, ISSB IFRS S2, and CSRD ESRS E1 — for finance, ESG, and your customers.

RPRT
Next milestone

Production integration layer: SLURM and Kubernetes hooks for operator-approved scheduling thus turning recommendations into a system of action.

03 how an engagement works

Low friction in. Paid on proof.

STEP 01

Free diagnostic

Share a read-only data export, workload queue and energy data. We model your facility against real market prices and show you exactly where the opportunity sits.

No commitment
STEP 02

Performance-based pilot

We run live weekly recommendations against your real workloads. Our fee is a share of the documented savings and grid revenue we unlock.

No value, no fee
STEP 03

Annual contract

After the pilot proves out, the engagement converts to a recurring subscription with audit logs, alerts, reporting, and deeper scheduler integration across sites.

Post-proof

Our incentives are your incentives. We start by getting paid only when your energy bill goes down, every recommendation is quantified, logged, and approved by your team before anything moves.

04 markets

Built for US wholesale markets first.

ERCOT
Texas

The most volatile major power market in the US, scarcity pricing, 4CP demand charges, and the densest AI data-centre build-out anywhere.

Live signals
PJM
Mid-Atlantic · 13 states

The largest wholesale market in North America, home to the Virginia data-centre corridor and emergency load-response programs like ELRP.

Live signals
CAISO
California

Deep renewable penetration drives the steepest daily carbon and price curves in the country, ideal terrain for carbon-aware scheduling.

Live signals
Carbon, built in

Hourly grid carbon intensity flows through every scheduling decision and into audit-ready reports mapped to SEC climate disclosure, ISSB IFRS S2, and CSRD ESRS E1.

The platform is market-agnostic by design, additional ISOs and international markets follow customer demand.

05 Savings calculator

How much of your bill is exposed?

A first-order view of your price-exposed spend, using conservative assumptions. The free diagnostic replaces these estimates with your real number, from your real data.

Estimated annual energy spend
$—
Price-exposed flexible spend
$—
Indicative optimisation opportunity
$—

Illustrative only. Assumes historical intraday spreads in your selected market and a conservative share of flexible load actually shifted. Your facility's real opportunity depends on workload deadlines, contract structure, and site constraints, the diagnostic quantifies it from your data, free.

06 team

Volt Labs

Constantin Kotchoubey

Co-Founder & CEO
constantin@voltlabs.tech

Nathaniel Assayag

Co-Founder & CTO
nathaniel@voltlabs.tech

James Surrick

Co-Founder & COO
jamie@voltlabs.tech
07 contact

Run a free diagnostic on your facility.

We connect to your existing data export, model your workload queue against real market prices, and show you where the opportunity sits, read-only, at no cost.

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