You buy a scorecard
A structured assessment for one named data center decision.
AI-native consulting services
Inventurist generates, updates, and interprets Data Center Scorecards for named campuses, phases, loads, accounts, and target data centers.
Starting point
Standard base delivery: 10 business days.
A structured assessment for one named data center decision.
The base scope is one named data center, campus, phase, load, account, or asset.
Additional work is scoped around the scorecard when the decision needs more evidence or support.
Base service
The base deliverable is structured enough to compare, refresh, and use in a decision conversation.
Additional services
A scorecard is the base. Additional work is scoped when the data center decision needs more targets, stronger interpretation, ongoing updates, or more evidence.
Add analyst interpretation or domain experts when the decision needs a stronger verdict.
Assess multiple campuses, phases, loads, accounts, assets, or a portfolio slice.
Validate thin, conflicting, private, or fast-changing evidence before decisions are locked in.
Break important dimensions into sub-scorecards when the top-level score is not enough.
Update the assessment as new filings, milestones, grid events, market signals, or local decisions appear.
Add peer sets, regional comparisons, utility context, or proprietary datasets.
AI-native consulting
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.
Domain experts define the data center question, the relevant scorecard dimensions, and the kind of verdict the client needs.
Analysts source input data, check quality, resolve contradictions, and decide where expert review is needed.
Algorithms gather signals continuously, feed inputs to the systems model, run analytics, and create or update scorecards and reports.
The scorecard is reviewed, challenged, adjusted where needed, and delivered with confidence, gaps, and decision implications.
Examples
These examples mirror the main decision paths on the home page. They are use cases, not a fixed service menu.
Financial
Assess whether a named data center project is financeable, where evidence is thin, and which milestones should change terms.
OEM / EPC
Prioritize scarce pursuit, proposal, engineering, and equipment-window capacity across named campuses.
Utilities
Check whether a claimed load is credible, phased, serviceable, and aligned with grid deliverability.
Operators
Pressure-test commitments, schedules, counterparties, customer timing, and next milestones.
Local governments
Review power, water, emissions, land, permits, local response, and the tradeoffs behind public decisions.
Related pages
These links keep the Pricing page connected to the rest of the scorecard story without turning this page into a full catalog.
See scorecard families for power, cooling, energy, carbon, workloads, and capacity.
Review decision paths for financial, vendor, utility, operator, and public-impact teams.
Use the current public proof surface for named data center Power and Timing.
Learn how the service combines software, analysts, evidence, and domain experts.
A named data center, campus, phase, project, load, account, asset, or portfolio slice with a clear decision attached to it.
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.
One named target, standard dimensions, evidence review, confidence labels, freshness and gap states, benchmark context, analyst review, and a short decision readout.
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.
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.
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.
Domain expert review can be scoped when the decision needs specialized judgment on power, cooling, permits, community response, financeability, emissions, or another dimension.
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.
Tell us the named campus, phase, load, account, or target data center you need assessed. We will respond with a practical scope.