The Problem
AI infrastructure decisions are made on bad information.
The largest capital deployment in history is happening right now — without a systematic way to evaluate where to build.
The Problem
AI infrastructure decisions are made on bad information.
The largest capital deployment in history is happening right now — without a systematic way to evaluate where to build.
$400B+
in AI data center investment committed globally through 2027, largely without a systematic decision framework.
6–18mo
lost when a site is selected and later found to have power constraints, regulatory blockers, or cost overruns.
12+
data sources required to evaluate a single market — power, regulation, latency, land — all siloed and stale.
How It Works
Input. Score. Decide.
A three-step engine that takes your requirements and returns a ranked, explainable deployment recommendation.
01 — INPUT
Your requirements
GPU capacity, power budget, latency sensitivity, timeline, regulatory tolerance, and energy mix preferences.
02 — SCORE
Weighted across 5 dimensions
Power availability, cost efficiency, regulatory stability, network latency, and land & expansion potential — with adjustable weights your team controls.
03 — DECIDE
One clear recommendation
"Build in Abilene, TX" — ranked, explainable, backed by live power prices and named sites with real operators.
The Product
A decision, not a report.
The output isn't a 60-page PDF. It's a ranked recommendation your team can act on immediately.
infrarence.app — decision engine
Infrarence Recommendation
Build in Abilene, TX
United States · ERCOT · West Texas Wind Corridor
Dominant on cost and expansion capacity with improving renewable coverage. Live ERCOT West Hub: $0.042/kWh.
↑ ~$0.04–0.06/kWh via West Texas wind PPA — lowest Tier 1 power cost in the US
↑ Switch SUPERNAC, Abilene: 1,000+ MW campus, direct wind PPAs available today
↓ ERCOT grid is islanded — no interstate backup; grid reliability risk needs underwriting
Why Infrarence
What consultants and ChatGPT can't give you.
Infrarence replaces the front half of the site selection process — the shortlisting, scoring, and analytical work that currently takes months and costs hundreds of thousands of dollars.
⚡
Live power prices
Real-time wholesale prices from GridStatus (US ISOs) and ENTSO-E (Europe) at the moment of the decision — not stale data from a consultant's last site visit.
🎯
Explainable decisions
Every recommendation shows its reasoning. Adjust any weight, rerun in 30 seconds, and see exactly how the ranking changes. No black boxes.
📍
Named sites, not regions
Not "consider Texas." Specific campuses, operators, and utility agreements — Switch SUPERNAC in Abilene, QTS Manassas, Equinix JH1 in Johor.
🔒
Auditable output
Every decision has a timestamp and explicit parameters. "We ran Infrarence on March 14th with these weights and got this result" — something you can show your board.
Request Access
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infrastructure decision?
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