Sensor & IoT Data Pipelines
Ingesting, cleaning and joining live feeds from traffic counters, environmental sensors, transit telemetry and connected infrastructure into a dataset you can actually model against.
// Service
How a city actually behaves — where it grows, how people move through it, and what its infrastructure is being asked to carry. We model the dynamics and hand back a dashboard, not a dataset.
Understanding how a city behaves — and what changes under a different policy or a different design.
Where our 3D Mapping & Reality Capture service produces the geometry, this one interrogates the dynamics that play out across it. Our urban data scientists and computational modelers work with mobility traces, sensor and IoT feeds, census and land-use records, and operational data from transit and utilities.
The output is built to be acted on. Every engagement ends in something a planner, an engineer or a council member can open and read — a dashboard, a scored network, a scenario comparison — rather than a folder of results that needs a specialist to interpret.
What you get
Ingesting, cleaning and joining live feeds from traffic counters, environmental sensors, transit telemetry and connected infrastructure into a dataset you can actually model against.
Land-use analysis, accessibility and catchment studies, transportation modeling, network analysis, and pedestrian and vehicular flow simulation.
Agent-based modeling, cellular automata and computational urban morphology, alongside statistical methods such as trend analysis, regression and spatial autocorrelation.
Scenario-based projection for urban growth, infrastructure demand, energy consumption and environmental impact — answering what changes if you build it, price it or route it differently.
Classification, anomaly detection and prediction on urban datasets, from automated land-use categorization to demand and congestion forecasting.
Tracking and analysing change over time, including traffic dynamics, public transit performance and population mobility trends.
Web-based urban dashboards that put live indicators, scenario comparison and stakeholder-facing reporting in one place.
Vision models running on sensors mounted to vehicles already driving the network — waste collection trucks, inspector cars — locating pavement defects continuously rather than during a periodic specialist survey. The same pass inventories signs, poles, streetlights and sidewalk obstructions.
Field-verified inventories and condition ratings for the assets a municipal plan has to account for, core and non-core. Scored against the index your own plan already uses, and delivered as a dashboard a public works lead can put in front of council.
For Ontario municipalities, the condition work above has a specific home. O. Reg. 588/17 requires every municipality to hold an approved asset management plan covering all its infrastructure — core and non-core — identifying proposed levels of service and a ten-year lifecycle funding strategy. Those plans must be reviewed and updated at least every five years, so the obligation is a standing cycle rather than a single filing. Projects funded through the Ontario Community Infrastructure Fund must sit inside such a plan.
The recurring difficulty is not the document. It is the data underneath it. Non-core assets in particular — facilities, parks, fleet, street furniture — are often tracked in departmental spreadsheets whose condition figures were last verified by someone who has since left, and a ten-year projection built on an unverified baseline is a projection of nothing. Small and mid-sized municipalities carry the same reporting obligations as large ones, without the internal survey crews or GIS staff to meet them.
What we provide is the baseline: a field-verified inventory with real condition ratings, captured by drone, mobile mapping and survey, scored against the index your plan already uses, and handed over as a dashboard your council and your consultants can both open. We survey, model and score the assets. The plan itself stays yours and your engineers’ to write.
Send the network, the city or the question you are trying to answer, and we will come back with an approach, a duration and a price.