Data Center Scorecard services and pricing
Inventurist generates, updates, and interprets Data Center Scorecards for named campuses, phases, loads, accounts, and target data centers.
Starting point
From $9K per named target
Standard base delivery: 10 business days.
Request a data center scorecard
What do you buy, what does it start at, and how does scope expand?
You buy a scorecard
A structured assessment for one named data center decision.
You start with one target
The base scope is one named data center, campus, phase, load, account, or asset.
You add scope when needed
Additional work is scoped around the scorecard when the decision needs more evidence or support.
What the scorecard includes
The base deliverable is structured enough to compare, refresh, and use in a decision conversation.
- One named target: data center, campus, phase, load, account, asset, or portfolio slice
- Standard dimensions such as power, permits, cooling, schedule, financing, emissions, and community
- Evidence layer with source quality, freshness, contradictions, and gaps
- Confidence labels so numbers are auditable instead of just asserted
- Benchmark context and analyst review of what changes the assessment
Add services when the decision needs more support
A scorecard is the base. Additional work is scoped when the data center decision needs more targets, stronger interpretation, ongoing updates, or more evidence.
Analyst and expert review
Add analyst interpretation or domain experts when the decision needs a stronger verdict.
More targets
Assess multiple campuses, phases, loads, accounts, assets, or a portfolio slice.
Additional evidence work
Validate thin, conflicting, private, or fast-changing evidence before decisions are locked in.
Additional scorecard dimensions
Break important dimensions into sub-scorecards when the top-level score is not enough.
Scorecard refreshes
Update the assessment as new filings, milestones, grid events, market signals, or local decisions appear.
Custom benchmarks
Add peer sets, regional comparisons, utility context, or proprietary datasets.
How is AI-native consulting different?
Domain experts frame the problem and solution. Analysts source inputs and control quality. AI systems gather signals, run the model, update scorecards, and generate reports for expert review.
Experts frame the decision
Domain experts define the data center question, the relevant scorecard dimensions, and the kind of verdict the client needs.
Analysts source and check inputs
Analysts source input data, check quality, resolve contradictions, and decide where expert review is needed.
AI systems run the pipeline
Algorithms gather signals continuously, feed inputs to the systems model, run analytics, and create or update scorecards and reports.
Analysts and experts adjust the result
The scorecard is reviewed, challenged, adjusted where needed, and delivered with confidence, gaps, and decision implications.
Popular ways clients use Data Center Scorecards
These examples mirror the main decision paths on the home page. They are use cases, not a fixed service menu.
Financial
Is this data center financeable?
Assess whether a named data center project is financeable, where evidence is thin, and which milestones should change terms.
View investor collateral
OEM / EPC
Is this account worth pursuing?
Prioritize scarce pursuit, proposal, engineering, and equipment-window capacity across named campuses.
View pursuit collateral
Utilities
Is this load serviceable?
Check whether a claimed load is credible, phased, serviceable, and aligned with grid deliverability.
View load collateral
Operators
Can this campus deliver?
Pressure-test commitments, schedules, counterparties, customer timing, and next milestones.
See operator use cases
Local governments
What are the public impacts?
Review power, water, emissions, land, permits, local response, and the tradeoffs behind public decisions.
Explore impact analysis
FAQ
What counts as one named target?
A named data center, campus, phase, project, load, account, asset, or portfolio slice with a clear decision attached to it.
Is this a subscription?
Not by default. The base service is a scorecard for a named decision. Ongoing refreshes or portfolio monitoring can be scoped if the decision requires it.
What does the base scorecard include?
One named target, standard dimensions, evidence review, confidence labels, freshness and gap states, benchmark context, analyst review, and a short decision readout.
How are additional services priced?
Additional services are scoped around the scorecard. The main drivers are target count, evidence complexity, scorecard depth, refresh cadence, custom benchmarks, derivative artifacts, analyst interpretation, and expert review.
Do you use public data, private data, or both?
The scorecard can use public evidence, client-provided information, proprietary data services, and expert inputs. The evidence layer should make source type, freshness, and confidence visible.
What does systems modeling mean?
Some data center variables are not directly observable from outside. Inventurist models the data center system so those variables can be estimated, labeled with confidence, and updated when new evidence arrives.
What if we need domain experts?
Domain expert review can be scoped when the decision needs specialized judgment on power, cooling, permits, community response, financeability, emissions, or another dimension.
Can the scorecard be updated?
Yes. Updates can be scoped when the decision keeps moving because of new filings, grid events, permitting changes, project milestones, public response, or market signals.