Campus & service fleets
Carry the sensor on routine journeys. Drivers keep their attention on the road; the proposed system collects observations in the background.
Campus shuttles / service vans / maintenance vehiclesRoad observations. Carried by everyday journeys.Los Angeles, California
One network. Every journey.
EVERY ROUTE.
A ROAD WORTH
KNOWING.
Your fleet is already on the road.
Make every journey an opportunity to see
what needs attention.
Built for the journeys already happening.Network illustration · not live vehicle positions
The companyFrom the road. To the right team.
ROUTINE
JOURNEYS.
EARLIER
OBSERVATIONS.
A small sensor.
A clearer view of the road.
RoadRelay is building a road monitoring service around vehicles that already travel the same routes. A service vehicle, campus shuttle or maintenance truck can carry a sensor while its driver gets on with the day.
Impact observations become reviewable evidence for the people who maintain those roads. Repeated signals help a coordinator decide where to inspect, who should respond, and what to check after a repair.
Follow an observationOur mission
Make routine journeys useful to the people who maintain our roads.
How it worksFROM A SIGNAL.
FROM A SIGNAL.
TO A NEXT STEP.
Evidence travels further
when the handoff is clear.
Routine routeMaintenance team
Illustrated workflow
Collect
Review
Relay
Who we are building forIntended pilot collaborators
THE PEOPLE
BEHIND
EVERY ROAD.
Drivers see the route. Facilities teams know the assets. Contractors do the work. RoadRelay gives each observation a path between them.
We are seeking pilot collaborators. The groups below describe intended users and partners; no signed partnerships are claimed.
Our first pilotFacilities & public works
Review repeated signals, assign an inspection, and keep a clear record of what happened next.
Campus facilities / municipal maintenance teamsRoad & site operators
See which routes have been observed and where more evidence is needed to inform maintenance planning.
Universities / industrial parks / road authoritiesMaintenance contractors
Receive reviewed work details, record field findings, and return completion evidence to the asset owner.
Inspection crews / pavement repair contractorsOur visionTHE NEXT PROBLEM.
THE NEXT PROBLEM.
SEEN SOONER.
A road network where emerging problems reach the right team before disruption grows.
We want everyday maintenance to become more informed and less reactive. In a future disaster response, that same network could help teams revisit critical routes and prioritize inspections.
Everyday maintenance first.Resilience over time.
Where we beginA proposed pilot model
START WITH
ONE CAMPUS.
LEARN FROM
EVERY PASS.
A fleet and a road network.
One accountable operator.
Our first intended customers are campuses and industrial sites that manage both their vehicles and their roads. A bounded route makes it possible to compare observations with real inspections and learn what the signals mean.
A scoped pilot
Install a small number of sensors, agree on test routes, and compare impact observations against human inspection findings.
A proposed business model
A hardware setup fee and recurring software subscription, paid by the site operator. Validate the value of inspection prioritization before expanding into municipal fleets.
What we need to prove
False-alarm rates, location accuracy, useful route coverage, and whether the evidence helps teams choose better inspection priorities.
Meet the working prototypeOrigin Weekend 2026 / Prompt D
SEE THE SIGNAL.
FOLLOW IT
THROUGH.
Open the demo Real impact sensing.
An MPU6050 and UNO R4 WiFi send the toy-car signal to a local dashboard. Record a pass, inspect the waveform, and assign a local inspection.
Location & fleet scale.
Manually selected demo locations stand in for GPS. A separate scenario shows 20 synthetic vehicles. No real-road deployment or detection accuracy is claimed.
A signal needs context.
A high impact means a suspected road anomaly that needs inspection. Optional AI helps summarize evidence; people make the maintenance decisions.