Smarter Capital Planning with Data-Driven Asset Prioritization

Put your budget where it matters most. manageX™ helps agencies make high-impact, cost-efficient MR&R decisions using optimization, machine learning, and decades of inspection data.

Built for Complex Infrastructure Decisions

Capital Budgeting

Maximize lifecycle ROI across your network

Scenario Simulation

Simulate performance targets, budget caps, or funding needs

Project Prioritization

Get auto-ranked MR&R lists based on constraints

Gap Analysis

Know how far your current budget is from performance goals

Deterioration Modeling

Predict with ML-trained models

Compliance Ready

Built for SNBI, NBI, and state-specific rules

Need Help With Asset Prioritizarion? Let’s Talk →

One Platform. Three Planning Stages

Configure rules and constraints, run optimization scenarios, and analyze results in one connected workflow built to support defensible, long-term capital planning

Configure

Configure

Set deterioration models, costs, treatments, budget pools, and performance goals.

Simulate

Simulate

Run budget-limited, needs-based, or target-driven scenarios. Get alerts when the results are ready.

Analyze

Analyze

See ranked projects, interactive maps, and lifecycle score comparisons. Export as Excel or GIS layers.

Managing Aging Infrastructure & Budget Pressure

From bridges and culverts to tunnels, manageX™ helps agencies make strategic, lifecycle-efficient decisions - not just cost guesses.

Challenge

Budget Defense
Prioritization
Long-Term Planning

Challenge

Without manageX™

With manageX™

Budget Defense
Gut-feel estimates

Defensible, data-driven reports

Prioritization
Manual or political

Optimized and objective

Long-Term Planning
Spreadsheet chaos

Centralized, configurable simulations

“manageX™ connects long-term planning with real-world project selection. The rerun capability lets us refine decisions without starting over, apply engineering judgment, and avoid unnecessary replacements while staying within budget and performance targets.”
Jake Norris, Bridge Management Section Head, ARDOT

Machine Learning That Speaks Infrastructure

Predict deterioration and optimal treatment paths for thousands of structures

Derive LCE projects customized by ADT, deck area, detour length, and condition

Automate action triggers using 32 years of federal tape data

ManageX Machine Learning

Smarter Capital Planning for Every Type of Agency

Your goals differ. So should your optimization.

PrevNext

State
DOTs

State
DOTs

Optimize capital planning across thousands of structures
Simulate multi-year budget constraints with performance targets
Export project priorities aligned with FHWA’s mandates

Cities & Counties

Cities & Counties

Identify the most critical local rehab and maintenance projects
Customize constraints like funding caps per project type
Plan proactively for road safety and citizen impact

Federal Agencies

Federal Agencies

Apply standardized frameworks across states or regions
Set national-level performance constraints and track compliance
Integrate with existing BMS or lifecycle analysis tools

Transit Authorities

Transit Authorities

Prioritize rail bridges, tunnels, and station infrastructure
Analyze funding needs for the next 5–10 years
Prevent disruptions by targeting high-traffic components

Private Consultants

Private Consultants

Run comparative scenario simulations for client proposals
Demonstrate ROI of funding allocations with scientific backing
Use agency-specific deterioration models and action rules

Canadian Organizations

Canadian Organizations

Support for mixed component and element-level models
Match regional deterioration models with decades of local data
Customize objective functions and constraints by policy need

What You Get with

Modeling & Optimization

Modeling & Optimization

ILP engine, deterioration models, action logic

Scenario Types

Scenario Types

Budget limit, performance target, gap analysis

Outputs

Outputs

Excel, GIS, PDF, dashboards

Add-ons

Add-ons

Machine learning models for deterioration and action triggers

Hosting

Hosting

Secure cloud, browser-based access

ILP: The Smarter Core of manageX™

Not all optimization is created equal.

Unlike heuristic methods like IBCR, manageX™ uses Integer Linear Programming (ILP) to generate mathematically optimal solutions — even with complex constraints and thousands of assets.

Precise

Scalable

Transparent & Defensible

What’s in It for You?

For Asset Managers

For Asset Managers

Confidently justify your requests

Simulate budget & performance trade-offs

Avoid emergency spending

For Engineers

For Engineers

Get auto-prioritized project lists

Simulate treatment impacts in real-world terms

Leverage ML and ILP optimizations

For Executives

For Executives

Back every dollar with lifecycle returns

Meet state/federal performance mandates

Drive decisions with defensible data

Available on the FedRAMP Marketplace

Listed on the FedRAMP Marketplace. Authorized at the FedRAMP Moderate level for secure transportation asset inspection and inventory data management.

View manageX™ on the FedRAMP Marketplace
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Why Agencies prefer

manageX™ connects long-term planning with real-world project selection. The rerun capability lets us refine decisions without starting over, apply engineering judgment, and avoid unnecessary replacements while staying within budget and performance targets.

Turn Maintenance Into a Predictable Process

With manageX™, your assets, work orders, schedules, and budgets finally live in one clear place. See how you can run maintenance with confidence.

See How manageX™ Helps!