True optimization plus AI

The best plan, not the worst-first list

Most tools hand you a ranked worklist: sort assets worst-first or by benefit-cost and fund down the list until the money runs out. InfraMind does something fundamentally different. It searches across your whole network to find the program that maximizes condition under your budget and rules — math no spreadsheet can do by hand — in a fraction of the time, and explains every recommendation in plain language. True optimization plus AI: the strongest defensible program, with the reasoning to defend it.

How it works

InfraMind takes you from raw condition data to a defensible, fundable program in four steps. 1) Bring in data — your inventory, PCI, GIS, and budgets, with AI-assisted onboarding that maps messy spreadsheets and GIS into the model. 2) Set the rules — your behavior models, treatments, and limits, with smart suggestions for deterioration curves and treatment defaults you confirm. 3) Optimize & compare — generate scenarios side by side and see what each budget actually buys. 4) Plan & report — turn the chosen program into visual work plans, maps, and reports.

Forecast how your network behaves

Optimization is only as good as what it's built on, so InfraMind starts with a clear-eyed forecast of how your pavement will behave. Conventional asset management relies on a static rating and a last-known inspection score. InfraMind projects each segment's condition forward over the planning horizon using behavior models tuned to your network — and it suggests deterioration curves you can review and confirm, rather than asking you to build them from scratch.

These forecasts feed directly into 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. Learn how this applies to roads on the pavement management software page.

See what each budget actually buys — before you commit

Scenarios let you compare funding levels against forecasted condition — modeling what a constrained, flat, or increased budget does to your network before any dollar is committed. Build and compare scenarios side by side: hold the budget flat, fund to a target condition, or push for more. For each one, InfraMind optimizes the program and shows the projected network condition and cost across the multi-year horizon, so you can pick the program that fits.

This turns the annual budget debate into an evidence-based conversation. Instead of arguing over a list of projects, your team and your elected officials can see the consequences of each funding level — what each dollar buys, what defers, and where the network ends up.

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, comparing scenarios helps your agency defend where every constrained dollar goes. ASCE 2025

Your inputs, your rules — the strongest program out the other side

True multi-constraint optimization is the heart of InfraMind. Rather than ranking or prioritizing a worklist, it solves your budgets, condition targets, and treatment rules together across your whole network to produce the strongest defensible multi-year program. It's the difference between sorting a list and actually solving the problem — searching the space of possible programs to find the one that keeps the most of your network in good condition for the money you have.

For suitable networks, InfraMind can also solve the full multi-year horizon as a single global optimization rather than year by year — this is in beta and not yet available for every network. Either way, the result is defensible: every choice traces back to the inputs and rules you set, not a static list someone handed you.

Work plans: a living document

The optimized program isn't a static PDF. In Work Plans, your staff can schedule and adjust treatments across years directly — and budget and projected condition recalculate live as they do. Override a recommendation, move a treatment a year out, or test a what-if, and see the consequence immediately. It's a living document your team owns, not a black box you have to accept as-is.

A PMS that fits your network

A configurable data model means InfraMind adapts to how your agency already works — your condition scales, your treatments, your rules — not a rigid vendor template you have to bend your network to fit. Most tools force your data into their schema. InfraMind does the opposite: it models your network the way you describe it, so the optimization is solving your problem.

Pavement-first today — and the same platform and optimization engine extend to other asset classes such as bridges, culverts, facilities, and fleet when you're ready, with no new system to buy. Read more on infrastructure asset management software.

Maps and reports from live data

Maps and reports generate straight from your live data — no GIS specialist required. As your program changes, your maps, work plans, and reports update with it, so what you show finance and your elected officials always matches what's actually in the plan. Auto-drafted board summaries and public-meeting language turn the plan into something you can present, not just something you can query.

Works alongside what you already run — no rip-and-replace

InfraMind is designed to be additive. Keep the GIS and asset records your team already maintains; InfraMind reads your condition and inventory data and returns an optimized, defensible multi-year program — there is no rip-and-replace and no migration of your system of record. AI-assisted onboarding maps messy spreadsheets and GIS into the model for you, so the data work that usually stalls a new system gets done up front.

That additive model de-risks the buy: your agency adopts InfraMind without disrupting day-to-day operations or the records you already trust — and runs and reruns scenarios in-house, on demand, with your own staff.

No black box, and AI that does the busywork

No black box. Every score, projection, and dollar traces back to inputs you control, with a plain-language rationale for each recommendation — defensible to staff, finance, and elected officials. Public-sector teams won't adopt opaque scores, so InfraMind is built so every forecast and every optimization choice can be explained and traced to the inputs and rules behind it.

On top of that, AI handles the busywork. Plan by describing what you want in plain language; search your assets and the map conversationally; let InfraMind auto-draft board summaries and public-meeting language; and lean on AI-assisted onboarding and smart suggestions for deterioration curves and treatment defaults that you confirm. The optimization stays rigorous; the AI removes the friction around it.

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

Government-grade, and built for the standards you plan against

InfraMind is built for public agencies: a full audit trail, role-based access, multi-tenant isolation, and disaster recovery come standard. And its forecasts and programs 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.

The payoff: stretch every dollar — the same budget keeps more of your network in good condition longer. Defend every decision — plain-language explanations plus a full audit trail. Do it in-house — run and rerun scenarios on demand with your own staff. Plan long-term — multi-year programs support CIP budgeting and grant applications with credible projections. And start small and grow — begin with pavement and extend to bridges, culverts, and facilities on the same platform, with no rip-and-replace.