Evidence is scattered
Power, permits, water, land, and local approvals live in different systems and change on different timelines.
Make Sense of Data Centers
Know what is real, where the gaps are, and what the evidence supports before you make a decision.
Start with a named campus, phase, load, or account related to a target data center. Understand the key factors before capital, capacity, policy positions, or public decisions are locked in.
Data center decisions
Financial
Invest, lend, acquire, structure the deal, or wait while the project matures.
OEM / EPC
Pursue the account, price risk, protect windows, or deprioritize.
Utilities
Check whether the load is credible, phased, and serviceable.
Operators
Pressure-test commitments, schedules, counterparties, and next milestones.
Public impacts
Review power, water, emissions, land, permits, and local impacts.
The Problem
Data center projects are hard to assess from the outside
Important factors are hidden
Important data center variables are not always observable from outside-in, so they need to be modeled and calculated with confidence.
Local impacts are unknown
Power, water, emissions, land use, and community response can reshape schedule, policy posture, and owner/operator risk.
System is dynamic
A data center can look credible until grid, permit, equipment, or community milestones slip.
The Solution
A scorecard turns data center evidence into a verdict
A Data Center Scorecard is a structured, comparable, and repeatable assessment on a named data center across power, cooling, land, permits, networking, demand, community, schedule, financing, and emissions.
Data Center Scorecard
Illustrative output for a named data center.
74
/100
Overall score
Dimension
Score
Confidence
Evidence
Power
78
84%
Queues, tariffs, ISO/RTO data
Cooling
71
68%
Water, climate, permits
Land
69
72%
Parcels, zoning, site control
Permits
64
71%
Filings, permits, approvals
Networking
67
62%
Fiber, carrier, latency signals
Demand
73
65%
Tenants, leases, market signals
Community
58
63%
Local hearings, news, objections
Schedule
66
75%
Milestones, dependencies
Financing
82
80%
Sponsor, capital, market data
Emissions
54
70%
Grid emissions, policy signals
Action playbook
Power
Score 78 · Confidence 84%
Gap
Confirm service date and interconnection status.
Next check
Validate grid deliverability for the named phase.
Structured
Measures the same core aspects across named data centers, phases, and markets.
Grounded
Shows evidence, confidence, freshness, and gaps instead of a black-box answer.
Repeatable
Is refreshed as new filings, events, approvals, and market signals appear.
Sample Data Centers
Scorecards for Power and Timing
Inventurist measures Power and Timing of named data centers with evidence, confidence, and refresh dates.
Schedule-chain risk
Microsoft
Wisconsin (Mount Pleasant/Kenosha axis) | Phase 1
Readiness
57%
Confidence
68%
This site scores above the peer cohort top quartile on the composite, but schedule risk remains the dominant concern.
View Microsoft Power and Timing snapshotCommercial operation timing
Amazon (ADS / AWS)
PECO TSA / Falls Township, PA | Phase 1
Readiness
62%
Confidence
66%
This site looks strong on power deliverability and reliability proxies, but weak on schedule risk.
View Amazon (ADS / AWS) Power and Timing snapshotIn-service window validation
Meta
Hyperion (Richland Parish, LA) | Phase 1
Readiness
53%
Confidence
61%
This site looks strong on deliverable capacity, but schedule and reliability risks dominate the current snapshot.
View Meta Power and Timing snapshotGrid deliverability
Applied Digital
Ellendale, ND (CoreWeave tenant) | Phase 1 (50 MW)
Readiness
86%
Confidence
71%
Phase 1 appears already in service (realized milestone), but deliverable capacity is below the peer cohort median under the curtailment-risk proxy. Carbon intensity remains worse than the pinned peer cohort. Renewable content is shown as a state grid‑mix proxy.
View Applied Digital Power and Timing snapshotOperational milestone and power posture
xAI
Colossus (Memphis / Southaven) | Phase 1
Readiness
91%
Confidence
80%
This site scores very high on the composite, driven by already-in-service schedule signals and strong deliverable capacity signals, but emissions intensity is above the peer cohort median. Renewable content is shown as a state grid‑mix proxy.
View xAI Power and Timing snapshotBusiness Value
Avoid making expensive mistakes
Financial
Financeability
For investors, lenders, sponsors, and acquisition teams deciding whether to move forward.
InvestPassStructureSet milestones
What changes the assessment
Power, permits, schedule, sponsor evidence, and financing posture.
OEM / EPC
Pursuit quality
For sales, engineering, proposal, and delivery teams deciding where to spend scarce capacity.
PursuePrice riskProtect windowsDeprioritize
What changes the assessment
Load credibility, phase timing, permits, customer evidence, and grid readiness.
Utilities
Load serviceability
For power-side teams checking whether a load is credible, phased, and actionable.
PlanCommitUpgradeChallenge assumptions
What changes the assessment
Load size, phasing, interconnection posture, tariff fit, and milestone evidence.
Operators
Delivery readiness
For developers and operators pressure-testing commitments, schedules, and counterparties.
PrioritizeRe-phaseEscalateMonitor
What changes the assessment
Power, cooling, permits, schedule, customer commitments, financing, and community response.
Public impacts
Resource and community impact
For policy, legal, local-government, owner/operator, and public-interest teams reviewing resource and community evidence.
ReviewQuestionMonitorRequest evidence
What changes the assessment
Resource use, local approvals, emissions posture, water/cooling exposure, and community response.
How it works
Signals to scorecards
Inventurist gathers raw signals, validates them, maps them to a named data center, models what cannot be directly observed, and turns the result into a Data Center Scorecard that is updated regularly.
Unique Capabilities
Scorecards are generated from a systems model of the data center
The scorecard connects evidence, status, confidence, benchmark context, and next action in one place.
Models the data center system
Connects observable evidence with approximate, confidence-labeled estimates for values that cannot be seen from outside-in.
- Aggregates scattered sources
- Models hidden variables
Makes numbers auditable
Shows confidence, freshness, derivation, gaps, and evidence paths so each number can be challenged.
- Shows quality and freshness
- Keeps the work auditable
Provides benchmarks
Shows whether the data center looks strong, weak, typical, or unusual against relevant reference sets and review contexts.
- Adds benchmark context
- Works across review contexts
Delivers action playbooks
Converts changing filings, approvals, outages, milestones, and market signals into follow-up work.
- Turns gaps into actions
- Updates as evidence changes
Ready to assess a data center?
Bring a named campus, phase, load, account, or decision window. We will scope the scorecard around the evidence that can change the verdict.
Request a data center scorecardScorecard solutions for data centers
Data Center Power and Timing
Energy - Utilities - Data Centers
Test whether a data center project can get power by the target in-service date before schedule, capital, or customer capacity is committed.
- Data center power availability and timing risk
- Interconnection and long-lead equipment exposure
- Tariff, resilience, and deliverable-capacity constraints
Data Center Cooling & Water Strategy
Data Centers
Thermal envelopes tighten with AI density. Water availability, liquid cooling choice, and climate risk influence uptime and siting.
- Liquid vs. air cooling trade-offs for high-density racks
- Water scarcity and permitting constraints by region
- PUE and outage risk tied to thermal design
Data Center Energy Optimization
Data Centers - Energy - Utilities
Volatile tariffs and carbon intensity complicate procurement. Energy strategy directly impacts $/token, regional capacity, and program ROI.
- Tariff swings and riders alter effective $/MWh
- Carbon intensity varies by region and hour
- Demand response and PPAs affect cost stability
Investor Due Diligence for Data Center Projects
Enterprises
Pressure test whether a data center project still underwrites after power, timing, utilization, and supply downside cases.
- Data center underwriting assumptions and breakpoints
- NPV, IRR, payback, and debt coverage under downside cases
- Power cost, build timing, utilization, and supply risk
Cloud Region Capacity Planning
Cloud - Data Centers
Compare regions for the next cloud capacity expansion using power, latency, GPU supply, and timing constraints.
- Region-level power availability and expansion timing
- Latency, locality, and compliance constraints
- GPU supply alignment across regions
Carbon Intensity & Water Footprint
Energy - Data Centers - Enterprises
ESG exposure spans power, cooling, and compute. Policy and local scarcity drive constraints and costs.
- Carbon intensity varies hour-by-hour and region-by-region
- Water scarcity risks and disclosure requirements
- Policy shifts change compliance cost curves
AI Workload Forecasting
Applications - Models - Cloud
Create an AI workload forecast that sizes serviceable demand, capacity headroom, SLA risk, and cost pressure.
- Workload forecasting for current and planned capacity
- Headroom and shortfall bands before SLA pressure shows up
- Cost-to-serve exposure under likely demand paths
Inventurist has been supporting strategic decisions since 2019
Inventurist was used as a strategic support platform to help doing data driven business decisions and what customer segment to focus on.
Qlair (Mann+Hummel)
MARCEL SCHOCH
CTO
Contact Us
Bring one named data center decision
Start with a data center, campus, phase, load, account, or target. We will help scope the scorecard around the decision in front of you.
Scorecard work is delivered as a service with scoped depth, refresh cadence, and analyst involvement. See Data Center Scorecard services and pricing.
Partner with Us
Become a data or expertise provider
Data service providers with proprietary data can join our partnership program to sell their data to our customers.
Subject matter experts with knowledge of data centers can provide their consulting services to our customers via our platform.