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A partnership model for the companies whose hardware and data move the nation. You build the signal. We turn it into intelligence — on a living geospatial map the whole ecosystem trusts.
Zoneium is an AI-powered geospatial infrastructure intelligence company. We exist to do one thing exceptionally well: turn the vast, disconnected data generated by physical infrastructure into decisions people can act on — and see on a map.
Our founding wedge is U.S. transportation. The full Department of Transportation ecosystem — federal, state, and local agencies, plus the contractors, engineering firms, and consultants who serve alongside them — sits on enormous volumes of data that never become intelligence. We change that.
The forcing function is real and dated: the FHWA Work Zone Safety Rule (23 CFR Part 630 Subpart J) requires every state DOT to operate on data-driven assessment by December 31, 2026. We were built for that moment — and for the decade of infrastructure intelligence that follows it.
General-purpose AI doesn't speak infrastructure. ZILM is purpose-built on transportation data, federal standards (FHWA, MUTCD, WZDx), and real DOT operations — and its reasoning surfaces directly onto a live Esri / ArcGIS geospatial layer. Not a chatbot. A decision instrument that knows where things are, what the rules require, and what to do next.
Every insight ZILM produces is built on a layered data strategy. Each layer is more defensible than the last — and partnership is how the middle layer becomes the foundation of the third.
Federal and open datasets — crash records, the National Bridge Inventory, work-zone feeds, federal cost standards. Free, authoritative, and the fuel ZILM runs on from day one.
It gets us live fast and keeps us current. But everyone can access it — so on its own, public data is a starting line, not a moat.
Role: Ignition — fast to deploy, no barrier to entryData owned by someone else that we access by license — real-time sensor feeds, device telemetry, proprietary field data from hardware and technology partners. Richer and more current than anything public.
This is where partnership lives. A partner's data, flowing into ZILM, sharpens every insight on the map. The advantage is real — and it deepens the more partners join.
Role: Differentiation — the partner ecosystem advantageThe data only Zoneium has — the connections, scores, correlations, and patterns ZILM generates by reasoning across every other layer, plus client-provided data and any exclusive feeds we lock up with partners.
Role: The Moat — defensible, compounding, oursWe are more than a transportation company. We are an infrastructure intelligence company that started with transportation because the need — and the deadline — are sharpest there. The architecture is built to extend across every layer of physical infrastructure.
DOTs federal, state & local — plus contractors and engineering firms.
Work-zone coordination, contractor compliance, jobsite safety.
Freight corridor performance and intermodal facility intelligence.
Incident command, corridor impact modeling, evacuation routing.
Grid monitoring, outage prediction, asset lifecycle management.
Installation infrastructure and mission-critical asset tracking.
We partner with companies that own physical products and the raw data they generate. We bring that data into the ZILM data layer, transform it into geospatial intelligence, and deliver it as a single product — sold into both your customer base and ours.
Hardware, devices, and the raw data they generate in the field. Your signal — already flowing.
→Your data enters the ZILM data layer — normalized, standards-aligned, and made ready to reason over.
→Raw signal becomes geospatial intelligence — scored, correlated, and surfaced live on the Esri map.
→The same online product is offered to your customers and ours — on a shared, mutually beneficial plan.
Your hardware gains an intelligence layer that wins deals, and your existing data becomes a recurring revenue stream — without building AI yourself or chasing every customer alone.
Your data deepens ZILM's moat, and your customer base becomes a channel — so the product reaches the field faster than either of us could reach it apart.
The geospatial platform most agencies already run. Every ZILM insight surfaces on the ArcGIS map your customers already trust — no rip-and-replace.
Transportation research collaboration and a deep talent pipeline — connecting frontier academic work to production infrastructure intelligence.
Applied AI research and capstone collaboration, anchoring ZILM's modeling work and the next generation of infrastructure-AI engineers.
Former Presidential Appointee and Federal CIO at USDOT. Brings federal technology leadership and deep relationships across the entire DOT ecosystem.
Thirty years in transportation across IBM and PwC, with an IIT and Carnegie Mellon foundation. Leads business development, sales, and partnerships.
Primary author of ITE/AASHTO national transportation standards, with working relationships across all fifty state DOTs. Owns ZILM's data architecture.
No wrong answers — just your perspective on how a partnership with Zoneium might take shape. A few sentences each is plenty.
These six questions are a little easier to answer on a laptop. If you'd rather continue right here on your phone, you can open the form below.
Reply to Your Invitation →What's your vision for a partnership with Zoneium — what would success look like?
Picture the ideal outcome 12–24 months in — new revenue, new markets, a stronger product, or a more defensible position.
What would you bring to the partnership — data, hardware, distribution, expertise, or something else?
Think across data feeds, hardware or devices, customer access and distribution, domain expertise, or field operations.
What would you want Zoneium to bring?
Consider the AI reasoning, the geospatial layer, compliance intelligence, market access, or credibility you'd want from us.
Do you already have a partnership model or framework you prefer to work within? If so, describe it here.
Note any structure you prefer — reseller, revenue-share, white-label, data licensing, or joint go-to-market — or how you've partnered before.
What timeframe are you thinking for getting started?
A rough sense is fine — an immediate pilot, this quarter, this fiscal year, or still exploring.
From your perspective, what would make this not a fit?
Be candid — the constraints, dealbreakers, or conditions that would make a partnership the wrong move for you.
Anything else you'd like us to know?
Optional — anything that didn't fit the questions above: context, ideas, a question for us, or what you're hoping for.