Data Silos at Every Level
Construction, assets, traffic, safety, and finance — disconnected across federal, state, and local systems. No unified operational view exists.
Unified decision intelligence for the full DOT ecosystem — purpose-built on transportation data, federal standards, and real-time operations.
Construction, assets, traffic, safety, and finance — disconnected across federal, state, and local systems. No unified operational view exists.
Engineers spend entire Fridays compiling reports. Executives decide on last week's data — when real-time intelligence should be standard.
23 CFR 630 Subpart J requires data-driven engineering studies at scale by December 31, 2026. Manual processes cannot meet the deadline — noncompliance risks federal funding.
"Why did this project run over budget?" — agencies can't answer because data isn't connected across systems and corridors.
Real-time conflict detection, predictive risk modeling, and automated alerts are not yet standard across most U.S. transportation corridors.
Safety managers can't build ROI cases from spreadsheets. Every level of government needs evidence-based budget defense — not projections.
Each module replaces a manual process with automated, AI-driven intelligence — mapped to what engineers, compliance officers, and executives need.
Every work zone, closure, incident, and traffic impact — one screen, real time. Emergency coordination improves 40%.
Root cause in minutes. "Why did I-95 run 3 months over?" — auto-correlated across every connected data source.
2 lanes vs. 1? Night vs. day? Delay a bridge repair 6 months? Model any scenario — defend decisions with evidence.
Fix it before it fails. Bridge deterioration, signal drift, pavement degradation — predicted before failure. Asset life +15–25%.
FHWA-ready. Audit-ready. Always. Auto-generated engineering study reports, MUTCD 11th Edition checks, TMP generation, immutable audit trails, and one-click grant documentation — all aligned to the December 31, 2026 deadline.
Some platform features may be in development or available in future releases.
A structured 12-minute assessment that maps where AI can reduce cost, improve safety, and transform operations across your agency — with a personalized report delivered instantly.
From federal program offices to local county engineers — and the contractors, engineering firms, and consultants who serve alongside them.
Serving the full transportation ecosystem — from federal program offices to field operations.
Request a DOT Briefing →December 31, 2026. Are You Ready?
The FHWA Work Zone Safety and Mobility Rule (23 CFR Part 630 Subpart J), effective December 2, 2024, requires all state DOTs to comply no later than December 31, 2026 — including mandatory data-driven work zone impact assessments, TMPs for significant projects, performance measurement, and a programmatic review framework. Manual processes cannot scale. Noncompliance risks federal funding.
Auto-generated FHWA-compliant engineering study reports — per corridor, per zone, per district
Real-time MUTCD 11th Edition compliance monitoring across all active work zones
Systematic work zone impact assessment documentation — automated, not manual
Transportation Management Plan (TMP) generation and tracking for significant projects
Continuous, auditable data trails — ready when federal reviewers arrive
One-click federal grant documentation aligned to MAP-21, BIL, and IIJA
General-purpose LLMs lack transportation vocabulary, geospatial awareness, and regulatory grounding. ZILM is purpose-built from the ground up on DOT operations data, federal standards, and work zone workflows — the intelligence layer beneath every platform module.
ZILM (Zoneium Infrastructure Language Model) is a purpose-built geospatial AI trained on transportation infrastructure data, FHWA regulations, MUTCD standards, WZDx, and DOT operational workflows. Unlike general-purpose AI, ZILM understands transportation vocabulary, geospatial corridor relationships, and compliance documentation requirements.
Real-time work zone conflict detection and safety event prediction — 8–20 second advance warnings.
Corridor-level traffic impact modeling and routing intelligence across all active work zones.
Automated FHWA and MUTCD compliance verification and documentation — always on, always current.
Predictive infrastructure maintenance and asset deterioration modeling — before failure, not after.
Root cause analysis, scenario modeling, and performance benchmarking across connected data sources.
Automated plain-language reporting for executive, legislative, and public audiences.
Purpose-built embedding model trained on transportation vocabulary. RAG pipeline with geospatial H3 spatial indexing. Aligned to WZDx v4.2, MUTCD 11th Edition, and the ITE/AASHTO Connected Work Zones (CWZ) standard. Some ZILM capabilities may be in development or available in future releases.
Connects to your existing systems. Built for government procurement, data sovereignty mandates, and vendor-neutral environments.
Connects to AgileAssets, Cartegraph, HPMS, ATMS, and any legacy system via open APIs. Existing investments stay intact.
On-premise and sovereign deployment available. No vendor lock-in. No cloud dependency required.
Built-in ArcGIS integration for spatial visualization — leveraging the GIS platform most agencies already have deployed.
Meets federal security requirements. Immutable QLDB audit trails for legal defensibility on compliance and insurance claims.
Start with one district or one capability. Scale on your timeline. No all-or-nothing procurement risk.
Compatible with HAAS Alert, Commsignia, Triax, and Geotab. ZILM is the intelligence layer across all hardware.
For agencies that need more than software — bridging the gap between fragmented legacy data and production-ready AI intelligence.
InfraReady is Zoneium's planned workforce development program — creating a pipeline of AI-ready transportation professionals trained to deploy and advance intelligence platforms across the DOT ecosystem.
Applied AI research, capstone projects, and transportation technology curriculum development.
Mentoring programs, intern-to-hire pathways, and real-world project validation.
ArcGIS training resources and certification pathways for program participants.
Interested in partnering with InfraReady as it develops?
Contact Us →Purpose-built for transportation today — with an architecture designed to extend across the full infrastructure intelligence landscape.
DOT federal, state, local, contractors, and consultants — the full ecosystem Zoneium serves today.
Work zone coordination, contractor compliance, and jobsite safety intelligence.
Grid infrastructure monitoring, outage prediction, and asset lifecycle management.
Incident command coordination, corridor impact modeling, and evacuation routing.
Freight corridor performance and intermodal facility intelligence.
Installation infrastructure management and mission-critical asset tracking.
Spatial intelligence layer and geospatial platform integration across all Zoneium modules.
Transportation research collaboration and talent pipeline; led by co-founder Naveen Lamba.
For consulting firms, systems integrators, and technology resellers: implementation services, white-label capability, and certification pathways.
Become a Partner →A founding team combining federal transportation leadership, 30 years of DOT industry experience, and authorship of national transportation standards.
Company vision · Product strategy · Investor relations
Operations · Revenue · Government customer acquisition
Data sourcing · Standards compliance · Research partnerships
We are building the team that will define infrastructure intelligence. Join us.
View Open Roles →The investment thesis in under three minutes.
Zoneium is an AI-powered infrastructure intelligence company. Its core product is ZILM — the Geospatial Infrastructure Language Model — a purpose-built AI platform for Federal, State, and Local Departments of Transportation. Zoneium automates FHWA Work Zone Safety Rule compliance, enables real-time work zone safety management, predictive infrastructure maintenance, and data-driven decision intelligence for the full DOT ecosystem.
ZILM (Zoneium Infrastructure Language Model) is a purpose-built geospatial AI model trained on transportation infrastructure data, FHWA regulations, MUTCD standards, WZDx, and DOT operational workflows. It powers all Zoneium platform modules including compliance automation, predictive maintenance, scenario planning, and real-time safety management.
The FHWA Work Zone Safety and Mobility Rule (23 CFR Part 630 Subpart J), effective December 2, 2024, requires all state DOTs to comply no later than December 31, 2026 — including data-driven work zone impact assessment procedures, TMPs for significant projects, safety and mobility performance measurement, and a work zone programmatic review framework.
Zoneium automates the documentation, data collection, and reporting requirements of 23 CFR 630 Subpart J — including auto-generated engineering study reports, MUTCD compliance monitoring, TMP generation, continuous audit trails, and federal grant documentation aligned to MAP-21, BIL, and IIJA performance metrics.
Zoneium connects to AgileAssets, Cartegraph, HPMS, ATMS, and any legacy DOT system via open APIs. It also integrates natively with Esri/ArcGIS and is compatible with connected devices from HAAS Alert, Commsignia, Triax, and Geotab.
Zoneium deploys in 2–4 weeks — compared to 6–12 months for traditional legacy integration. The modular architecture allows agencies to start with one district or one capability and scale on their own timeline.
Yes. Zoneium is purpose-built for Federal, State, and Local DOTs — including county transportation departments and municipal public works offices. The modular deployment model is specifically designed for smaller teams and leaner budgets.
Zoneium was founded by Nitin Pradhan (CEO, former Federal CIO at USDOT), Naveen Lamba (President & COO, IIT and Carnegie Mellon, 30 years transportation experience), and Siva Narla (Chief Data Officer, primary author of ITE and AASHTO national transportation technology standards).
When you request a briefing, take the DOT AI Readiness Assessment, or submit a partner inquiry, we collect your name, work email, organization, job title, and phone number if provided. We also collect standard web analytics data (pages visited, time on site, browser type) through cookies and similar technologies.
We use your information solely to respond to your inquiry, deliver your AI Opportunity Report, and communicate about Zoneium products and services relevant to your role. We do not sell, rent, or trade your personal information to third parties.
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Zoneium · Reston, Virginia · info@zoneium.com
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Zoneium is an AI-powered infrastructure intelligence company based in Reston, Virginia. Our platform is intended for use by transportation agencies, government contractors, engineering firms, and related organizations.
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Zoneium · Reston, Virginia · info@zoneium.com