CityPulse counts visitors in public spaces with radio sensors — camera-free and deduplicated across whole areas. Read the live pulse, forecast the days ahead, compare any two weeks, and export every number to your own tools.
Opens the demo environment — simulated data for Cologne, no account needed.
CityPulse is the visitor-analytics app of the urbanOS ecosystem: radio sensors measure presence and movement in public spaces, and anonymised radio signals from nearby mobile devices become robust visitor estimates, walking paths and heatmaps — read live, forecast for the days ahead, compared across any two timeframes and exported straight to your own tools.
Sidewalks are a means to an end — what counts is business opportunity. Once you know how many people pass an address, you can market vacant units on purpose and prove the effect of your measures instead of claiming it.
Every empty unit has a footfall profile — it just has never been on paper. CityPulse shows in black and white how many people pass an address each day. That is the strongest argument economic developers and landlords can hand a prospect — and where high footfall is on record, space lets faster.
Traffic calming, a new pedestrian zone, redirected routes: CityPulse measures footfall before and after — always with the same method. So you can see whether a measure truly brought the centre to life, instead of hoping it did.
Discretionary funds, promotion weeks, city marketing: instead of guessing whether a campaign brings people into town, you measure the change in footfall. Impact you can prove to committees and grant bodies.
Every sensor a visitor walks past counts them again — sum it up naively and one person becomes five. CityPulse follows anonymised signal paths across all sensors in an area and removes the double counting. The result is a smart estimate, and it says so openly — no false precision.
And because the method never changes, the numbers are at their strongest in comparisons: this Saturday against the last one, market day against a normal day, this year's festival against last year's.
In the app, every estimate openly shows its naive sum and the overcounting factor it removed.
Forty-five seconds through CityPulse: live footfall on one map, the naive sensor sum collapsing to honest visits, and the movement flows behind it — the very same app your city would run.
Runs 45 seconds. Sound optional — every figure is captioned on screen.
Every screenshot is the real product, straight from the demo you can open yourself — from the automatic insight feed to the documented export API.
The overview turns raw counts into plain sentences: how today stands against a typical day, which spot is busiest, new records, unusual hours and the measured impact of an event — an automatic insight feed that updates as the data arrives.
CityPulse forecasts the days ahead by combining each area's typical rhythm with the weather and the events on the calendar — so teams can plan staffing, cleaning and safety around the numbers, not a hunch.
Paired loudness sensors add a decibel layer to the map. CityPulse flags the places that are louder than their crowd size would explain — an early signal for noise complaints, event acoustics and quality of stay.
This week against last, market day against a normal day, this year's festival against last year's — with hourly detail per sensor. The method is identical every time, so a difference you see is a difference that happened.
Download any view as CSV, or connect your BI tools to the read-only export API — documented in OpenAPI, authenticated by key. The data is yours, and it stays that way.
The same city centre, read three ways — from who is here this minute to the corridors visitors follow between sensors. In flat 2D or a tilted 3D view.
CityPulse explains every figure directly in the app — including what it can and cannot know.
Radio sensors count radio signals, not faces. No images, no profiles — presence is measured as anonymised radio signals from mobile devices.
Not everyone carries a broadcasting device — and some carry three. A configurable per-sensor factor turns device counts into realistic person estimates.
Parked cars, smart TVs, door counters: stationary signals are measured per sensor and subtracted, so quiet hours read as quiet.
In the app, every estimate openly shows its naive sum and the overcounting factor it removed.
Every urbanOS app inherits the platform underneath it. You never buy an island.
GDPR-compliant, ISO-certified, hosted in Germany. Your city's data stays your city's data.
Standard IoT sensors over LoRaWAN and existing networks. Deployment takes days, not months.
Add or remove apps as your city's needs change. The platform and your data stay in place.
A complete pilot setup for nine months — sensors, gateway, app and support in one package. So you see the pulse of your own city centre, not just a demo's.
In the packageThe open demo runs on simulated data for Cologne's old town: the insight feed and forecast, the live 2D and 3D map, visitor flows, loudness and full statistics. No account needed — it is the same app our cities use.
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Let the AI you trust walk you through CityPulse and its concrete value for your municipality — tailored to your role and your city.
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