Model. Simulate. Decide.

Decision Modeling and Simulation for Data Centers and AI Infrastructure

Utilities, regulators, investors, tenants and communities each decide based on their own interests.

Your consequential commitments depend on other parties’ competing objectives and constraints.

On timeOn budgetLateOver budgetHigh-stakes decision

Inventurist offers multi-agent modeling and simulation of high-stakes decisions in data center development

Inventurist

We model each decision-making party as a cognitive agent with its own objectives, constraints and likely responses, then simulate how their choices play out against yours.

You receive two outputs: a forecast of what each party will most probably do vs. the moves that the simulations suggest will lead to the desired outcomes.

High-Stakes Decisions in Data Centers

From first proposal through operations, each stage turns on a few consequential commitments.

Data Center Proposal Stage

Capacity and delivery dates must be committed before demand is established.

A well-judged proposal sizes the first phase to demand that can be verified, and keeps the rest from being funded on an assumption.

  • Uncertainty about consequences
  • Significant financial implications
  • Depends on external parties

Capacity and delivery dates are committed before the demand is contracted.

Data center: Applied Digital · Ellendale, North Dakota

100 MW

under construction at Applied Digital’s Ellendale campus in January 2025, while the hyperscaler lease was still being negotiated. The investor’s first $225 million was conditional on an executed lease it found satisfactory in its sole discretion.

Applied Digital · SEC unit purchase agreement · 13 January 2025

Our model runs the tenant, the investor and the developer together, so you can see which phase size still holds if the lease arrives late.

Illustrative decision model

Secure Land

Site control must be secured before permitted use and power availability are known.

The right structure keeps the land commitment reversible until those conditions are settled, at a fraction of the cost of buying early.

  • Hard to reverse
  • Depends on external parties
  • Uncertainty about consequences

Land is committed before the permits and power that make it usable.

Data center: Macquarie Technology · Macquarie Park, Sydney

A$240m

the completed Sydney land purchase Macquarie Technology recorded in August 2026, before associated costs, with planning approvals for the proposed campus still outstanding.

Macquarie Technology Group · ASX announcement and FY2026 annual report

Data center: Agincourt Investments · Valparaiso, Indiana

180 days

the option Agincourt took on a Valparaiso site instead of buying it, while power availability and rezoning were unresolved. The proposal was withdrawn in March 2025 and the option released without a purchase.

City of Valparaiso · mayoral statement · option approved 9 January 2025

We model what the county and the utility are each likely to decide, so you can compare the option against the purchase before either becomes binding.

Illustrative decision model

Power and Infrastructure

Load commitments must be made before the utility can confirm when power will be available.

The right commitment changes what the utility is able to offer, and can move energization years earlier.

  • Depends on external parties
  • Significant financial implications
  • Complex, dynamic systems

The utility and its regulator decide when power arrives, not the developer.

Project: Talen Energy and Amazon · Susquehanna, Pennsylvania

300 → 480 MW

the co-located load increase Talen and Amazon sought at Susquehanna, which FERC rejected on 1 November 2024. In June 2025 the parties announced a revised arrangement and a planned move to grid-connected supply.

FERC · 189 FERC ¶61,078, docket ER24-2172 · 1 November 2024

The utility and its regulator get their own models, with their own constraints, so their likely ruling sits in your plan before you commit the load.

Illustrative decision model

Infrastructure Approval

Approval conditions are set by an authority answerable to the community, not to the project.

Conditions shaped early are ones the project can carry. Conditions imposed late can force a redesign.

  • Decisions inside decisions
  • Depends on external parties
  • Uncertainty about consequences

Approval arrives with conditions that force new design and cost decisions.

Data center: Equinix DB8 · Profile Park, Dublin

10 generators

proposed at Equinix’s DB8 in Dublin, on land reserved for a future data center. The change triggered a council requirement for environmental impact assessment and, because of the additional flues, aviation plume modeling recommended by the Department of Defence.

An Bord Pleanála · inspector’s report ABP-317936-23 · 17 December 2024

Inventurist models the conditions an authority is likely to attach, so the design and cost consequences surface while the application can still be changed.

Illustrative decision model

Capital and Investment

Capital is committed long before the revenue that repays it is delivered.

The right funding structure releases money against milestones that are actually evidenced, so exposure tracks real progress.

  • Significant financial implications
  • Hard to reverse
  • Depends on external parties

A single contract can commit billions before any revenue exists.

Data center: IREN and Dell · Childress, Texas

$5.8bn

the aggregate purchase price in the Dell agreement IREN’s subsidiary signed on 2 November 2025 to equip its Childress facilities, payable within 30 days of each tranche shipping. IREN unconditionally guaranteed the obligations.

IREN · SEC Form 8-K · 3 November 2025

Every milestone is modeled against what has to be true for it to release, so you can see which commitments are exposed when one of them slips.

Illustrative decision model

System Design and Configuration

Compute, electrical and cooling choices are locked in while the workload is still changing.

A configuration chosen for flexibility absorbs a density change without re-engineering the build.

  • Complex, dynamic systems
  • Decisions inside decisions
  • Hard to reverse

Compute, power and cooling constrain each other, so one change forces others.

Data center: Meta · Blackwell pod deployment

4 : 2

cooling racks to compute racks in Meta’s Blackwell pod. The installation required liquid cooling, but the existing data centers had no facility liquid-cooling infrastructure, so four air-assisted liquid-cooling racks were deployed alongside two central compute racks.

Engineering at Meta · 29 September 2025

Data center: Microsoft Fairwater · Wisconsin and Atlanta

2 stories

the layout Microsoft chose for Fairwater, placing interconnected GPUs above one another to shorten network distances. That geometry then set new requirements for cable routes, coolant pipes and structural load.

Microsoft · Fairwater design accounts · September and November 2025

Compute, power and cooling are modeled as one coupled system, so a change in any of them shows up immediately as a change in the others.

Illustrative decision model

Operations and Expansion

Performance in service can differ from the design the commitments were based on.

Reading that evidence early turns a costly retrofit into a staged acceptance, and tells you whether to expand.

  • Beyond anyone’s control
  • Complex, dynamic systems
  • Uncertainty about consequences

Events nobody controls can take capacity offline after everything is built.

Data center: Google Cloud · europe-west2, London

35%

of the virtual machines in Google Cloud’s europe-west2-a zone were terminated in July 2022, after extraordinary outside temperatures coincided with failures of redundant cooling at its London facility and the building was powered down to protect equipment.

Google Cloud service health · incident report · 29 July 2022

We simulate how each party responds once conditions change, so you know in advance which commitments hold and which reopen.

Illustrative decision model

Customer Testimonials

Inventurist was used as a strategic support platform to help doing data driven business decisions and what customer segment to focus on.
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CTO

Gain a clear view of the consequences before the decision is locked in.

Start with your project, the decision window and the parties involved.

Receive scenario comparisons and a reviewed interpretation of the consequences.

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Contribute data or domain expertise to evidence-grounded decision models.