The InfraMind Capital Planning Platform

One platform for infrastructure capital planning

From condition data to a council-ready capital plan, the InfraMind platform brings deterioration modeling, scenario budgeting, and risk-based prioritization into a single cross-asset model. The capabilities below form an end-to-end path from raw condition data to a defensible, fundable plan.

AI deterioration modeling for infrastructure assets

Deterioration modeling is how a capital planning platform forecasts the future condition of physical assets — predicting how pavement, bridges, pipes, and facilities will degrade so investment can be timed before failure, not after. Conventional asset management relies on static condition ratings and a last-known inspection score. InfraMind replaces that snapshot with machine-learning deterioration models that project each asset's condition forward over the planning horizon, accounting for asset type, age, materials, usage, and environment.

Forecasting deterioration is the foundation of standards-based planning: MAP-21 requires a risk-based transportation asset management plan for National Highway System pavement and bridges, and GASB 34's modified approach lets owners report on a condition basis instead of depreciation. InfraMind's forecasts feed directly into those obligations. Learn how this applies to roads on the pavement management software page.

Scenario budgeting and capital optimization

Scenario budgeting is how owners test multiple funding levels against forecasted condition — modeling what a constrained, flat, or increased budget does to backlog and risk before any dollar is committed. InfraMind lets you build and compare funding scenarios side by side: hold the budget flat, fund to a target condition, or maximize risk reduction per dollar. For each scenario, the platform optimizes the project mix and shows the projected condition, backlog, and risk outcomes across the multi-year plan.

This turns the annual budget debate into an evidence-based conversation. Instead of arguing over a list of projects, councils and boards can see the consequences of each funding level — what defers, what fails, and what the deferred-maintenance backlog becomes.

The ASCE 2025 Report Card grades U.S. infrastructure a C against a $3.7 trillion 10-year investment gap. With IIJA surface-transportation funding set to expire September 30, 2026, scenario budgeting helps owners defend where every constrained dollar goes. ASCE 2025

Risk-based project prioritization and optimization

Project prioritization is how a capital plan ranks competing projects under a fixed budget — scoring each by risk (probability and consequence of failure) and benefit so the most defensible work rises to the top. InfraMind prioritizes projects on risk — the probability of failure from the deterioration forecast, combined with the consequence of failure from criticality, hazard exposure, and service impact — and on the benefit each treatment delivers per dollar. The optimizer then assembles the project mix that does the most good within your budget constraints.

Because the ranking is driven by transparent inputs rather than a static list, the result is defensible: every project's place in the plan traces back to its risk score, its benefit, and the budget limit it was measured against.

A cross-asset model: plan every asset class together

Cross-asset planning is the ability to prioritize different infrastructure types in one budget-constrained model — weighing a road project against a pipe, a bridge, or a runway instead of planning each asset class in a separate silo. Most infrastructure tools are siloed by asset: a pavement system here, a bridge system there, a separate utility model for pipes. That makes it impossible to answer the real budget question — is the next dollar best spent on a road, a culvert, a water main, or a taxiway?

InfraMind plans roads and pavement, bridges, water and wastewater pipes, airport runways and taxiways, transit assets, and facilities together in one model, so owners can make genuine cross-asset trade-offs against a single capital budget. Read more on infrastructure asset management software.

Sits on top of your existing EAM and GIS

The planning layer is software that adds forecasting and optimization on top of the systems of record an owner already operates — reading condition and asset data from EAM, CMMS, and GIS rather than replacing them. InfraMind is designed to be additive. Keep Esri and the asset registers your teams already maintain. InfraMind reads your condition and inventory data and returns a prioritized, multi-year plan — there is no rip-and-replace and no migration of the system of record.

That additive model de-risks the buy: owners adopt the planning layer without disrupting day-to-day operations, work-order management, or GIS.

Defensible, audit-ready AI

Defensible AI in capital planning means models whose inputs, assumptions, and outputs are transparent and traceable — so a public owner can explain every funding recommendation to a council, board, or auditor. Public-sector owners will not buy a black box. InfraMind is built so that each deterioration forecast and each prioritization decision can be traced back to its inputs and assumptions, producing an audit-ready rationale for the capital plan as a whole.

See how InfraMind's approach maps to procurement on the security and trust and compliance pages.

Built for the standards public owners plan against

InfraMind's forecasts and plans align with the public-domain frameworks that govern infrastructure capital planning — from the ASCE Report Card's condition grades to MAP-21, GASB 34, and GFOA capital-improvement-plan best practice.