Eco TerraVaultETHICAL INFRASTRUCTURE. REIMAGINED.

DATA SCIENCE & ANALYTICS CONSULTING

Infrastructure Intelligence
& Analytics.

Turn complex infrastructure evidence into decisions you can explain, test, and act on.

Eco TerraVault combines data science, geospatial research, and infrastructure expertise to develop commissioned studies for above-ground and underground data-center decisions.

Discuss an intelligence engagement
CHICAGO-BASED · U.S. STATES & TERRITORIESPrivate organizations · Public agencies · Infrastructure partners

COMMISSIONED PROFESSIONAL SERVICES

Your question.
A purpose-built study.

Our public explorer provides an introduction to the evidence landscape. A consulting engagement develops the research, validation, analysis, and interpretation needed for your specific decision.

Each engagement has an agreed scope, fee, delivery schedule, and technical package. Data availability and specialist requirements shape the study; findings remain traceable to their evidence and assumptions.

Explore the public research demonstration

THREE WAYS TO ENGAGE

Technical depth.
Defined deliverables.

Start with a focused study or combine workstreams into a broader program. The proposal defines what is included.

01

Infrastructure Evidence Study

What does the evidence actually support?

Establish a defensible research baseline for a region, portfolio, facility shortlist, or infrastructure decision.

Analytical approach

Source qualification, entity resolution, record reconciliation, geospatial analysis, and a structured data-quality review.

Agreed deliverables can include

  • Research dataset and data dictionary within agreed source rights
  • Source register, identity decisions, and evidence-gap log
  • Geographic findings, limitations, and a technical decision brief

Market and location research · Portfolio baseline · Early due diligence

Request a scoped proposal
02

Resilience & Lifecycle Analytics

Where do dependencies change the decision?

Examine operating dependencies and lifecycle choices using authorized records, incident evidence, and specialist input.

Analytical approach

Event classification, dependency analysis, evidence-based lifecycle assessment, and comparison of recovery or transition requirements.

Agreed deliverables can include

  • Dependency and lifecycle evidence register
  • Analysis of documented incidents and unresolved assumptions
  • Prioritized investigation and reuse, retrofit, or retirement questions

Operating resilience · Recovery planning · Asset transition

Request a scoped proposal
03

Scenario Modeling & Decision Support

Which assumptions matter most?

Compare credible infrastructure options against your workload, resource, financial, and continuity requirements.

Analytical approach

Transparent scenario models, sensitivity analysis, and statistical or simulation methods where the available data supports them.

Agreed deliverables can include

  • Versioned model with assumptions, units, and boundaries
  • Scenario comparisons and sensitivity findings
  • Decision report, evidence conditions, and an advisory workshop

Capacity planning · Resource trade-offs · Investment options

Request a scoped proposal

REPRODUCIBLE BY DESIGN

Scientific discipline.
Infrastructure judgment.

A useful model exposes its assumptions. A useful recommendation explains what would change the conclusion.

  1. 01 / Frame

    A decision before a dataset.

    Agree the question, geography, time horizon, intended use, deliverables, and acceptance criteria.

  2. 02 / Qualify

    Evidence with a traceable origin.

    Check source rights, observation dates, missingness, duplication, geographic resolution, and identity rules.

  3. 03 / Analyze

    Methods matched to the question.

    Document transformations, spatial assumptions, model boundaries, and validation checks. Separate observations from estimates.

  4. 04 / Challenge

    Make uncertainty visible.

    Test sensitivity, inspect conflicting evidence, and disclose coverage bias. Report confidence only where the method supports it.

  5. 05 / Deliver

    A record your team can use.

    Provide the agreed technical package, review the findings together, and identify decisions that need additional evidence.

What makes the technical package useful

Data dictionaries and provenance. Versioned analytical workflows. Explicit units and time boundaries. Spatial resolution matched to the question. Validation and sensitivity checks. A clear separation between measured, reported, modeled, and unknown findings.

CONNECTED TO THE REAL FACILITY

Analysis across the
infrastructure lifecycle.

Bring mechanical systems and digital operations into the same conversation: facilities, cooling, I&O, SRE, disaster recovery, cybersecurity, and workload readiness.

Above-ground modernization

Compare reuse and retrofit options, workload requirements, cooling dependencies, and transition constraints.

Underground feasibility

Organize site, utility, access, and operating evidence; identify the geotechnical and engineering investigations a decision requires.

Resources and community context

Evaluate relevant water, energy, cost, and community considerations using defensible boundaries and project-specific evidence.

Resilience and responsible retirement

Connect documented events, service dependencies, recovery objectives, asset reuse, decommissioning, and sunsetting decisions.

INTELLECTUAL WORK. CLEAR RIGHTS.

Original analysis.
Clear ownership.

Our professional value is the research design, analytical workflows, models, interpretation, and project-specific recommendations developed for the engagement.

The proposal identifies Eco TerraVault’s pre-existing methods, newly created deliverables, client information, and applicable use rights. Public facts and third-party source data retain their respective rights and licenses. Client-specific studies are delivered through the agreed engagement process.

Review public sources and methodology

DEFINE THE NEXT STUDY

What decision does
your evidence need to support?

Tell us the question, general geography, decision deadline, and desired outcome. We will clarify the research scope, required inputs, deliverables, and fee before work begins.

Specialist engineering, site inspections, testing, certification, and continuous monitoring require explicitly agreed scopes and qualified delivery parties.

Discuss an intelligence engagement