Compute infrastructure intelligence

Price the compute. Underwrite the power.

Compare GPU-hour prices and assess the power constraints that affect AI infrastructure projects.

Source citedThreshold clearedDesk reviewedHuman approved

Publication requirements

Current method

Methodology
gci-v0.1.1
Distinct venues
≥ 5
Distinct sources
≥ 5
Quote age
≤ 24h
Outlier trim
Provisional band
> 15% excluded

GreenCIO publishes a result only when the source coverage and quality requirements are met.

394
Cited facilities

40.87 GW across 32 countries. Archival snapshot, Epoch AI CC BY, 2025-08-23

7
Research specialists

Grid, assets, geopolitics, investment, contracts, and compute costs

18
Data API routes

Pricing, facilities, capacity, and reference data

Who it's for

Pick the desk that matches your mandate

PE & Infrastructure

Deal sourcing + diligence

Quantify grid constraints and permit risk before you price the deal.

Banks & Lenders

Underwriting + credit risk

See how grid and regulatory shifts affect borrower performance before they hit covenants.

Asset Managers

Portfolio risk + transition

Track probability-weighted transition risk and grid constraints across holdings.

How it works

The configured signal workflow

1

Ingest

Approved collectors can ingest selected filings, queue records, and market sources. Availability and freshness depend on the deployed source and storage configuration.

2

Score

Configured analysis can attach probability, confidence, entity, and impact fields. Those fields remain decision support—not demonstrated calibration— until the corresponding evidence history is operating and verified.

3

Brief

Approved users can review structured output with source trails, assumptions, degraded-data warnings, and human approval gates. Live availability still depends on the configured data and model providers.

Without greencio

“We think the permit might be delayed.”

No probability. No confidence interval.

No way to model downstream impact.

The analyst spent 3 hours finding the filing.

Illustrative greencio output

“73% probability of approval by Q3, based on historical patterns and current queue position. If delayed, grid capacity probability drops from 67% to 41% across 3 regions.”

Quantified uncertainty. Conditional scenarios.

Example only; no customer time-saved claim is implied.

Data sources

GreenCIO uses public filings, grid operator data, company reports, and licensed datasets. Read our methodology

DOE

Data Center electricity demand projections

Source

LBNL

Grid capacity and load growth analysis

Source

FERC

Interconnection queue and regulatory filings

ISO/RTO

PJM, ERCOT, MISO, CAISO queue data

State PUCs

Permit filings and tariff rulings across 50 states

Transport security

TLS for application traffic

SOC 2 readiness

Formal controls in progress

Tenant boundaries

Organization-scoped application paths

Scoped data access

Organization-aware APIs

Security details →

Bring the decision you are stuck on.

Bring a site that needs power, a compute purchase that needs a price, or a portfolio question for committee review. We will show which modules apply and identify the missing evidence.