Compute Desk Intelligence for Energy Infrastructure

Know the Odds.
Before the Market Moves.

Built for compute desk analysts across PE, banks, and asset managers. GreenCIO turns grid, permit, and regulatory signals into probability-weighted insights 30–90 days before pricing moves.

Ohio datacenter permit73% approval probabilityupdated 2 hours ago

Sample signal. Live data available in demo.

1,247 facilities tracked23,000+ queue positions monitored50 state regulators watchedUpdated continuously

Sources monitored include DOE, LBNL, ISO queues, and state regulatory filings.

Built for compute desk analysts across PE, banks, and asset managers

What investors are asking
View all 90+ questions

How It Works

From Raw Signal toActionable Odds

Traditional intelligence tells a compute desk what happened. We tell you what's likely next, with confidence scores that tighten as new signals arrive.

1

Signal Ingestion

We continuously monitor:

  • • 1,247 datacenter facilities
  • • 23,000+ interconnection positions
  • • 50 state regulatory bodies
  • • Satellite imagery changes
2

Pattern Recognition

Each signal is compared to historical patterns:

  • • Similar permit filings
  • • Queue position trajectories
  • • Regulatory precedents
  • • Construction timelines
3

Probability Synthesis

Signals become probability-weighted forecasts:

73%permit approval
67%grid constraint
89%regulatory change
4

You Move First

30–90 days before the market:

  • • Reposition capital
  • • Hedge regulatory exposure
  • • Secure capacity early
  • • Negotiate with leverage

“We don't just tell you there's risk. We tell you there's a 73% probability of that risk materializing, with a confidence interval that tightens as we gather more signal.”

That's the difference between reacting to outcomes and positioning for likelihoods.

$1T+market coverage
24/7autonomous monitoring
30–90days early detection

The Blind Spot

$1 Trillion Is Moving Into AI Infrastructure.Most Compute Desks Still React After the Market Moves.

Without probability-weighted intelligence, desks price risk late, capital gets trapped, and deals are sized on hope instead of odds.

Day 0 — Market Reacts

Grid capacity bottleneck hits Ohio

A constraint emerges. Projects stall. Capital gets trapped. Headlines hit.

Most desks find out now.
The deal is already priced. The damage is done.

Day -30
Queue position shifts detected. Probability of constraint: 67%

Early Signal

GreenCIO flags interconnection delays

Pattern recognition across 23,000 queue positions. The odds shift.

Your Advantage

Your compute desk is already positioned

Capital redeployed to ERCOT alternatives. Risk mitigated before it materialized.

Day -60
GreenCIO probability signal: 78% constraint likelihood. You moved.

This isn't hypothetical. Meta's $29B Louisiana financing hinges on grid availability. Ohio's 85% utilization mandate creates $8M annual penalty risk for underprepared operators. 6–12% of U.S. electricity is being claimed by datacenters—and growing.

The question isn't whether these constraints will matter. It's whether your desk will see them first.

What if you knew the probability, not just the possibility?

Interactive Demo

Try the Probability Engine

Sample data for illustration. In the demo, you can connect your regions, assets, and watchlists.

Region

Signal Type

Time Horizon

Signal

Ohio · Permit approval

30 days outlook

Probability

73%

Confidence

68–78%

Updated

2 hours ago

What changed the odds

  • Similar filings approved in last 12 months
  • Zoning variance submitted
  • Utility service letter on file

Choose Your Path

Built for Compute Desk Analysts.Mapped to Your Mandate.

Self-select the segment that matches your desk. You'll land on the workflows, signals, and outputs you actually use.

PE & Infrastructure

Compute Desk for Deal Sourcing

Spot power constraints before diligence starts. Size bids with probability-weighted grid and permit risk.

Primary signals: permit momentum, queue shifts, tariff risk.

Banks & Lenders

Compute Desk for Underwriting

Flag borrower exposure before it hits covenants. Quantify grid risk that becomes credit risk.

Primary signals: interconnection delays, tariff shifts, borrower exposure.

Asset Managers

Compute Desk for Portfolio Risk

Track probability-weighted transition risk across holdings and regions.

Primary signals: regulatory rulings, grid constraints, capacity pricing.

Same platform. Compute desk outputs tuned to your mandate.

Get Your Personalized Demo

The Agentic Workflow

From Signal to Probability

GreenCIO doesn't just alert you to events. We synthesize raw signals into calibrated probability distributions you can act on—before the market prices them in.

01

Analyze

Six specialist agents continuously ingest signals from interconnection queues, regulatory filings, permit databases, and satellite imagery—building real-time probability distributions across your target regions.

02

Predict

Signals are evaluated against historical patterns to produce calibrated probability distributions. A permit filing becomes a 73% approval probability. A queue shift becomes a 67% constraint risk.

03

Act

Probability signals arrive 30–90 days before market pricing. You reposition capital, hedge regulatory exposure, or secure capacity—before competitors know there's an opportunity.

Real Signals

The Intelligence That Moves First

These are the kinds of signals our agents surface. Early detection. Specific data. Actionable intelligence.

Grid Constraint Early Warning

Ohio permit filing detected 47 days before public announcement. Investor positioned before $2.1B in competing capital arrived.

47 days

Lead time advantage

1,247

Facilities tracked

Interconnection Queue Analysis

MISO queue bottleneck identified. 8 projects delayed 18+ months. Early signal allowed capital reallocation to ERCOT alternatives.

18 mo

Delay avoided

23,000+

Queue positions monitored

Regulatory Risk Detection

PUCO 85% utilization rule flagged 31 days before final ruling. Portfolio adjusted to meet new compliance thresholds.

31 days

Pre-ruling notice

50 states

Regulatory coverage

Social Proof

What Compute Desks Want to Measure

Replace the illustrative examples below with approved testimonials and outcomes.

Illustrative example

We shifted capital after seeing a grid constraint signal 42 days early. It changed our bid strategy.

Compute Desk Lead

Mid-Market Infrastructure Fund

Illustrative example

Probability-weighted signals let us quantify borrower exposure before tariff changes hit our covenants.

Credit Risk Director

Regional Bank

Illustrative example

We moved from static ESG reports to live probability scores across the portfolio.

Portfolio Analyst

Asset Manager

Behind the Scenes

Six Specialist Agents.One Unified Probability Output.

Each agent watches a single domain: grid capacity, permits, regulation, investment signals, costs, and geopolitical exposure. Together, they turn raw signals into probability scores your compute desk can act on.

Grid

Stability

📋

Transition

Risk

🔧

Asset

Optimization

📈

Investment

Intelligence

💰

Cost

Prediction

🌍

Geopolitical

Analyst

Unified Probability Output

Ohio Datacenter Expansion

Permit approval73%
Grid capacity available48%
Tariff favorable81%
Combined viability67%

ERCOT Grid Constraint

Capacity bottleneck78%
Regulatory intervention34%
Price spike likelihood82%
Risk severityHigh

Signals update continuously. Confidence ranges are included in the demo.

What each agent tracks

Grid Stability

Autonomous load balancing, predictive rerouting, frequency deviation response. Monitors 23,000+ queue positions. Calculates P(capacity available) for any site.

Transition Risk

PPA performance analysis, REC portfolio hedging, carbon price modeling, regulatory impact assessment. Calculates P(regulatory impact) for your portfolio.

Asset Optimization

Predictive maintenance, anomaly detection, battery storage optimization, service dispatch planning. Calculates P(operational efficiency) by asset.

Investment Intelligence

Automated due diligence, risk/return modeling, arbitrage identification, portfolio benchmarking. Calculates P(deal viability) with confidence intervals.

Cost Prediction

Self-improving cost models, weather impact forecasting, hidden cost identification, explainable LCOE. Calculates P(cost trajectory) with full transparency.

Geopolitical Analyst

Sovereign stability modeling, sanctions exposure, supply chain chokepoints, critical mineral tracking. Calculates P(geopolitical disruption) by region.

When one signal shifts, the rest update with it. That's how you get a single, probability-weighted view instead of a pile of alerts.

Your Competitors Are Moving Fast. Is Your Desk Ahead?

Every day without early intelligence is a day your competition is positioning. Get probability signals built for compute desks.

Sources

  • DOE/LBNL estimate data centers at ~4.4% of US electricity in 2023, rising to 6.7–12% by 2028 —DOE,LBNL
  • Ohio (PUCO) approved an 85% minimum usage rule for large data centers (12 years) —AEP Ohio,PUCO
  • Meta’s ~$29B Louisiana data‑center financing (approx. $26B debt led by PIMCO + $3B equity Blue Owl) —Reuters

Weekly Intelligence Brief

The signals that moved markets this week. Grid constraints. Permit activity. Financing deals. One email, every Monday.

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