Zoneium Pitch Deck · ZILM GIIP Platform

The Case in 60 Seconds

Built by the team
that ran U.S. transportation.

The December 2026 FHWA Work Zone Safety Rule is a hard mandate with federal funding consequences — arriving with zero AI-native compliance solutions on the market.

The Problem

State DOTs manage $1.5T in aging infrastructure through fragmented, siloed data systems. General-purpose AI — ChatGPT, Gemini, Claude — cannot interpret MUTCD, WZDx, FHWA regulatory frameworks, or NBI bridge ratings. A hard compliance deadline arrives December 2026 with no AI-native solution available.

The Solution

ZILM is purpose-trained on U.S. transportation infrastructure data across all federal and state domains. It sits as an intelligence layer on top of existing DOT systems — automating compliance, enabling predictive intelligence, and making infrastructure decisions faster and more accurate. Built by the Federal CIO who ran USDOT, the operator who led global programs at IBM, and the engineer who authored the national standards.

Active Agency Conversations — Validated Demand

Florida DOT NYC DOT Nashville DOT USDOT / FHWA Virginia DOT Maricopa MPO Connecticut DOT MnDOT 12+ State DOTs (work zone data)

The Ask — Seed Round

Capital deployed against ZILM model completion, three founding engineer hires, and conversion of active DOT conversations to signed pilots before the December 2026 compliance procurement window closes.

Meet the Founders → See Traction →

Founding Team

Built by the People
Who Ran the System

Zoneium was founded by practitioners with direct operational authority over U.S. transportation infrastructure — not observers of it. This team has written the standards, approved the budgets, and navigated the procurement realities that define this market.

Nitin Pradhan

CEO and Acting CTO

Presidential Appointee and Former Federal CIO, U.S. Department of Transportation. Led digital transformation strategy for the nation's entire transportation infrastructure portfolio. Deep relationships across USDOT agencies, and federal policy channels. The person who sat at the top of the federal transportation technology chain. Former federal growth advisor to Zoom and New Relic. BS in Engineering, MBA in Marketing and MS in Accounting. Leads Zoneium's vision, strategy, planning, external communications and investor relationships.

↗ LinkedIn

Naveen Lamba

President & COO

25+ years building and selling transportation intelligence systems globally. IBM Global Transportation Industry Leader — delivered congestion pricing systems in London, Stockholm, and Singapore. Guidehouse Director leading FHWA programs across 22 states. Holds 5 patents in transportation and emerging technology. B.Tech, IIT, MBA and MS Civil Engineering, Carnegie Mellon University. Owns all Zoneium operations, DOT partnerships, contract, grants and go-to-market strategy.

↗ LinkedIn

Siva Narla

Chief Data Officer

Primary author of national transportation technology standards through ITE and AASHTO. Direct working relationships with all 50 state DOT technical leads. Owns data strategy planning, sourcing, cleansing, schema development, Skill.MD integration, and end-to-end data pipeline management, including sourcing, licensing, standards compliance, and product testing at Zoneium. The standards are in ZILM's DNA because he wrote them. BS and MS in Civil engineering.

↗ LinkedIn

TECHNICAL ADVISORS

Dr. Gurdip Singh

Technical Advisor

Computer Science faculty and research leadership. Expertise in AI systems, distributed computing, and technology infrastructure. Graduate research collaboration pipeline into ZILM development.

↗ LinkedIn

Dr. Mohammed Hadi

Technical Advisor

Transportation systems engineering. Research focus on intelligent transportation systems, traffic operations, and infrastructure data analytics. Key advisor on ZILM's ITS data integration layer.

↗ LinkedIn

Dr. Sean Zhen Qian

Technical Advisor

Transportation engineering and AI research at Carnegie Mellon. Expertise in infrastructure modeling, traffic systems, and data-driven transportation analysis. Safety21 research partner.

↗ LinkedIn

Founder–Market Fit

Most transportation AI startups are built by engineers who learned the domain from the outside. Zoneium's founders built the federal programs, authored the national standards, and sold to DOTs for decades before writing a line of ZILM code. That access, credibility, and domain knowledge cannot be replicated.

Market Validation · May 2026

Real Traction,
Unexaggerated

Active conversations with validated pain points and committed program partners across the U.S. transportation agency network.

8+

Agency conversations with confirmed pain-point match

Active

Agency conversations with validated demand underway

Dec '26

Hard deadline creating urgency in every conversation

AGENCY CONVERSATIONS

Agency	Pain Point	Zoneium Signal
Florida DOT	Hundreds of miles managed through fragmented, siloed data across districts with varying real-time visibility	Confirmed interest in ZILM's unified real-time operational view across all assets and work zones
NYC DOT	Root cause analysis takes days via disconnected TMC, CCTV, police, and EMS records	ZILM's cross-source incident correlation (WZDx, CCTV, FARS) directly attractive for post-event analysis
Nashville DOT	Work zone planning based on intuition, no data-driven pre-deployment recommendations	Predictive work zone planning based on historical patterns — direct capability match confirmed
Maricopa MPO	Cross-jurisdictional long-range planning hampered by inconsistent data; manual reconciliation required	Unified geospatial data foundation confirmed as directly relevant to regional planning challenge
USDOT / FHWA	No interoperability baseline between states for cross-jurisdictional incident data exchange	Interest in ZILM's national schema repository enabling cross-state interoperability comparisons
FHWA Data Submissions	Monthly state DOT submissions to FHWA labor-intensive, error-prone, poorly standardized across 50 states	Interest confirmed from FHWA receiving side; additional opportunity with each submitting state
VA · CT · MN DOTs	Electrical asset management gap — poles, cables, foundations — no unified solution	Three-state interest in ZILM's asset inventory, inspection, and maintenance optimization
12+ State DOTs	No cross-state protocol for real-time road condition and active work zone data sharing	Confirmed interest in ZILM's data assimilation and dissemination capability

COMMITTED PROGRAM PARTNERS

Program Acceptances

Esri Startup Program Carnegie Mellon Startup Program

Esri Startup Program active with Virginia pilot corridor integration planned. Carnegie Mellon Startup Program active with discussions underway for partnership with Safety21 for domain validation and research collaboration.

InfraReady Workforce Pilot

George Mason University and Virginia DOT in discussion for the AI Ready workforce development pilot — targeting Virginia DOTs. Earn-and-learn program placing transportation technology professionals inside DOT operations trained on ZILM and Esri ArcGIS.

GMU Academic Home VDOT Employer Partner VEDP Grant Coordination AWS Infrastructure

The Forcing Function

Why Now —
December 2026 Is Not Optional

The FHWA Work Zone Safety Rule mandates compliance for all 50 state DOTs by December 2026. Non-compliance risks federal highway funding eligibility. No AI-native compliance solution exists today.

What DOTs Must Do by Dec 2026

Collect and publish work zone data in WZDx 4.0 format

Meet FHWA data quality standards for accuracy, completeness, and timeliness

Report on work zone safety metrics and incident data to FHWA

Demonstrate compliance readiness — non-compliance risks federal funding

Why No Existing Vendor Solves This

General-purpose AI cannot interpret WZDx, MUTCD Part 6, or FHWA schema definitions

Traditional compliance software is manual and form-based — not AI-native

GIS platforms (Esri, Bentley) handle spatial data but not compliance intelligence

No platform today automates data collection, quality validation, and regulatory reporting together

Zoneium's Timing Advantage

Right Now

Procurement window is open

DOTs begin procurement 12–18 months before compliance deadlines. Q2/Q3 2026 is the buying window. Zoneium is already in active conversations with 8+ agencies.

Category Advantage

No AI-native incumbent to displace

There is no "DOT AI platform" category leader. Zoneium is creating the category from a position of domain authority — not fighting for market share.

Pre-Built Access

Team has pre-existing DOT relationships

Nitin and Naveen have direct access at VDOT, NVTA, and USDOT. Siva wrote the WZDx standards that every DOT must now comply with. Cold outreach is not required.

Technical Window

AI infrastructure maturity arrived

Claude API, Gemma 4, and vector databases make ZILM buildable in months, not years — the technical window that didn't exist before 2024.

The Problem

Transportation Infrastructure
Is Flying Blind

America's transportation system manages trillions in assets across thousands of jurisdictions — with AI tools built for entirely different problems.

Fragmented Data

Siloed systems, manual reconciliation, no unified view

State DOTs manage bridge inspections, pavement conditions, work zone events, incident records, and funding data across dozens of disconnected systems. Cross-correlating this data requires weeks of manual analyst work — if it happens at all.

AI That Doesn't Understand Infrastructure

GPT, Gemini, and Claude were not built for this

General-purpose models hallucinate on MUTCD Part 6 work zone requirements, misinterpret NBI bridge condition ratings (0–9 scale), and cannot reason across WZDx, HPMS, FARS, and USASpending simultaneously. The domain requires a model trained on the domain.

A Compliance Deadline with No Solution

December 2026 arrives whether DOTs are ready or not

The FHWA Work Zone Safety Rule is not aspirational. All 50 state DOTs must comply by December 2026 or risk federal funding eligibility. No AI-native compliance tool exists to help them get there.

The Platform

ZILM — A New Kind
of Infrastructure Intelligence

ZILM is not a fine-tuned ChatGPT. It is a purpose-built language model trained on the complete U.S. transportation infrastructure corpus — understanding infrastructure the way infrastructure professionals do.

The Architecture

L6

Users

DOT Executives · Program Managers · Engineers · Contractors · Consultants · Insurers

↕

L5

Product Suite

Ask ZILM · ZILM Tools · ZILM Local · ZILM Training · ZILM Compliancy · ZILM AI Labs

↕

L4

Orchestration Engine

Classify → Route → Assemble → Enrich → Geolocate → Deliver. Routes to ZILM domain model, Gemma 4 local, or frontier LLM as needed.

↕

L3

Data Layer (3 Tiers)

Tier 1: Public federal (NBI, HPMS, FARS, WZDx, FMCSA) · Tier 2: Credentialed DOT data · Tier 3: Proprietary sensor and partner data

↕

L2

ZILM Model v1

Purpose-built embedding model. Not a fine-tune of a general model. Trained on transportation infrastructure corpus. V2: temporal reasoning, cross-modal correlation, geospatial embeddings.

↕

L1

Infrastructure

ZILM Cloud · Esri/ArcGIS geospatial integration · Gemma 4 on-premise option for air-gapped DOT environments

Seven Products, One GIIP Platform

ZILM Dashboard (live Ask ZILM pilot on Virginia data) · Ask ZILM (conversational AI) · ZILM Tools (7 tool types, 6 personas — see live demos ↓) · ZILM Local (Gemma 4 on-premise) · ZILM Training (certification prep, zero AI cost) · ZILM Compliancy (automated data collect-clean-report) · ZILM AI Labs (agentic builder, V2). All products share one orchestration engine, one data layer, and one GIIP compliance logic.

ZILM Dashboard

Ask ZILM — Running Live

Ask ZILM is running locally as a live pilot, trained on four active transportation data sources and standards. This is not a mockup — it is an operating AI intelligence system answering real domain questions.

Live Data Sources & Standards — Ingested and Active

Standard 01 — Connected Work Zones (CWZ)

CWZ Implementation Guide and Standard · National Reference

The national INCOSE-aligned standard governing the design, data exchange, and implementation of Connected Work Zones across the United States. Harmonizes the WZDx specification with CWZ research, pilot deployments, and SAE / AASHTO / ITE / NEMA standards work. Binding on infrastructure owners/operators, automakers, and automated driving systems.

WZDx Harmonized SAE / AASHTO / ITE / NEMA INCOSE Aligned ADS Compliant

Standard 02 — MUTCD

Manual on Uniform Traffic Control Devices · National Reference

The federal standard governing the design, application, and placement of all traffic control devices — signs, signals, markings, and temporary traffic control — on every public road in the United States. Published by FHWA and binding on all states within two years of issuance. ZILM reasons against MUTCD Part 6 for all work zone compliance queries.

FHWA Binding Part 6 Work Zone All 50 States Signs · Signals · Markings

Dataset 03 — Virginia Structures Database

VDOT Bridge, Culvert & Tunnel Inventory · Virginia

Complete inventory of all bridges, culverts, and tunnels on Virginia's state-maintained roadway network. Published by VDOT with both legacy NBI fields and the newer SNBI (Specifications for the National Bridge Inventory) fields, extended with VDOT's LRS (Linear Referencing System) attributes. ZILM uses this database for bridge condition queries, risk scoring, and inspection planning.

NBI + SNBI Fields VDOT LRS Attributes Bridges · Culverts · Tunnels State-Maintained Network

Dataset 04 — Virginia Work Zone Database

VDOT WZDx v4.0 Feed · Virginia

WZDx v4.0 GeoJSON snapshot of all active, planned, and historical work zones on VDOT-maintained roads in the Commonwealth of Virginia. Published by VDOT through the Smarter Roads data platform. ZILM uses this feed for real-time work zone compliance assessment, risk correlation with bridge and incident data, and FHWA reporting preparation.

WZDx v4.0 GeoJSON Active + Planned + Historical Smarter Roads Platform FHWA Ready

What Ask ZILM Can Answer — Right Now

Which Virginia bridges are most at risk and why — pulling from VDOT Structures Database with NBI/SNBI ratings

Which active work zones in Virginia are out of MUTCD Part 6 compliance and what corrective actions are needed

How to structure a WZDx v4.0 submission for a new VDOT work zone deployment

What the CWZ standard requires for connected vehicle data exchange at a specific work zone type

Cross-correlate bridge condition + active work zone proximity + traffic volume for risk prioritization

ZILM Tools

Live Intelligence
Demonstrations

Four ZILM tool demonstrations running on real transportation data. Each tool is interactive — built on the ZILM intelligence layer and geospatial delivery engine.

Tool 01 — Bridge Risk Map

Interactive bridge condition risk index visualizing NBI-sourced structural deficiency scores across all 50 states. Click any state for a detailed risk breakdown, deficient bridge count, and estimated repair costs.

Data Source: FHWA National Bridge Inventory (NBI) Launch Demo →

Tool 02 — Infrastructure Economic Impact

Economic impact calculator quantifying the annual cost of poor road conditions — driver vehicle operating cost premiums, freight delay losses, commuter time lost, and work zone incident costs — configurable by state, corridor, and pavement condition.

Data Source: BLS + BTS + FHWA Economic Models Launch Demo →

Tool 03 — Work Zone Fatality Tracker

Newspaper-styled national fatality intelligence dashboard sourced from FHWA FARS data — sortable state rankings by total deaths, death rate per VMT, and 5-year trend, with countdown to the December 2026 FHWA compliance deadline.

Data Source: FHWA Fatality Analysis Reporting System (FARS) Launch Demo →

Tool 04 — ZIIS Score

Zoneium Infrastructure Intelligence Score — composite scoring across all 50 states on five pillars: Safety, Compliance, Investment, Modernization, and Resilience. Click any state card for a ZILM-powered breakdown with insights and FHWA readiness assessment.

Data Source: FHWA · NBI · BLS · BTS · ASCE Launch Demo →

Market Opportunity

A $350B+ Market
with No Incumbent

Transportation infrastructure AI is a category that doesn't exist yet. Zoneium is building it from a position of domain authority.

TAM — Total Addressable Market

$350B+

All U.S. transportation infrastructure stakeholders — state DOTs, MPOs, counties, cities, contractors, consultants, insurers, and federal agencies — needing AI-native intelligence for compliance, planning, and operations.

SAM — Serviceable Addressable Market

$4.2B

50 state DOTs + 200+ large MPOs as software and data platform subscribers. Average DOT technology budget $28M annually. Even 3% capture of that market across 50 states represents $42M ARR.

SOM — Serviceable Obtainable Market

$180M

Realistic 3-year capture from FHWA compliance mandates (50 DOTs), ZILM Training subscriptions (500K+ transportation professionals), and professional services revenue from data engineering and technology marketplace.

50

State DOTs — mandatory compliance, direct sales targets

500K+

Transportation professionals for ZILM Training

5,000+

Private sector firms (contractors, consultants, insurers)

Go-to-Market & Revenue

Procurement-Aligned,
Compliance-Driven

ZILM sells to government buyers through the channels they already use — and earns revenue from three product tracks designed to minimize AI compute cost while maximizing stickiness.

GIIP — Three Revenue Tracks

GIIP Platform

MRR

ZILM Training

Per-seat

Professional Services

Project

GTM Motion — Three Channels

Direct DOT sales — Naveen and Nitin leverage existing VDOT, NVTA, and USDOT relationships. Pilot proposals aligned to December 2026 compliance mandate.

Standards leverage — Siva's ITE and AASHTO authorship creates credibility in every DOT conversation. Standards-compliant from day one, no negotiation required.

Technology Marketplace — Advisory and referral model. Zoneium curates multi-vendor bundles for DOT challenges, earning referral revenue without implementation overhead.

Cost Architecture Advantage

ZILM products are engineered to minimize frontier AI token usage. ZILM Training requires zero AI compute — pure SaaS margin. ZILM Compliancy uses only local models for data cleaning. ZILM Tools prioritizes cached, preprocessed data. The platform grows in value and revenue without growing proportionally in AI cost.

Roadmap

Now — Q3 2026

V1 — Work Zone Compliance + Ask ZILM

ZILM Compliancy for December 2026 mandate. Ask ZILM conversational intelligence. ZILM Tools v1 (7 tool types). ZILM Training launch. InfraReady Virginia pilot.

Q4 2026 — Q2 2027

V2 — Temporal Reasoning + Predictive Intelligence

Temporal reasoning across historical infrastructure records. Cross-modal correlation. ZILM AI Labs agentic builder. Geospatial-native embeddings.

2027 — Beyond

V3 — Multi-Modal Expansion

FTA (transit) → FRA (rail) → FAA (aviation) → MARAD (maritime) → PHMSA/NHTSA. First AI spanning all U.S. DOT modes under a single architecture.

Business Model

Geospatial Intelligence
as a Service

ZILM monetizes through three complementary revenue streams — platform SaaS, high-volume training subscriptions, and professional services — each with distinct margin profiles.

GIIP Platform — Starter · Professional · Enterprise

Starter ($299/mo) — Ask ZILM + ZILM Training. Self-serve. Entry point for small contractors, consultants, and individual analysts.

Professional ($1,499/mo) — Full ZILM Tools suite + ZILM Compliancy + API access. Target: mid-size contractors, consultants, MPOs.

Enterprise (custom) — On-premise option, custom data integration, dedicated account management. Target: state DOTs, large federal agencies.

ZILM Training — Certification Platform

500,000+ potential annual users · Zero AI compute cost

Transportation professionals must maintain certifications in MUTCD, work zone safety, and infrastructure standards. ZILM Training is a SaaS certification prep platform with zero marginal AI cost — pure software margin at scale. Per-seat pricing generates recurring revenue and creates a platform acquisition funnel for the full ZILM suite.

Professional Services

Forward-Deployed Engineering

How it works: Zoneium forward-deploys engineers directly inside transportation departments and their consultants, contractors, and engineering firms. The engagement follows a structured sequence:

① Identify data — engineers map all available data sources across the agency's systems, partners, and federal feeds.
② Clean data — apply validation and normalization pipelines to ensure data quality meets FHWA and ZILM ingestion standards.
③ Create schema — build canonical data schemas that map to WZDx, NBI, HPMS, MUTCD, and agency-specific data definitions.
④ Build SKILL.md files — encode domain expert knowledge as structured intelligence documents that train ZILM on agency-specific context, terminology, and reasoning patterns.
⑤ Create the AI infrastructure layer — deploy the full ZILM intelligence stack — orchestration engine, vector store, RAG retrieval, and geospatial delivery — on top of the agency's existing systems.

Technology Marketplace — advisory and referral model. Zoneium curates transportation technology vendor bundles for DOT-specific challenges, earning referral revenue without implementation overhead.

Funding & Use of Funds

Capital to
Meet the Deadline

Seed capital deployed against the December 2026 FHWA compliance window — building revenue before institutional fundraising.

40% — Platform & Model Development

ZILM proprietary model development, CTO team buildout, cloud infrastructure, and API architecture completion.

25% — Go-to-Market & Sales

DOT relationship development, contract negotiation support, pilot program costs, and Sales Director hire.

20% — Data & Standards

Transportation data licensing, curation infrastructure, standards compliance verification, and Esri partnership expansion.

15% — Operations & Legal

Corporate formation completion, controller hire, compliance officer, grant applications (STTR/SBIR/SMART), and operating reserve.

Zoneium.

zoneium.com

CEO

Nitin Pradhan

President

Naveen Lamba

Website

zoneium.com

Product

ZILM — Zoneium Infrastructure Language Model