Powering decisions that win
The brands your competitors are watching
Eight data types, collected to your requirements
Mobile Sensor
GPS and foot traffic at scale, with sensor metadata attached.
Foot traffic and GPS data built to your spec
The GPS and foot traffic your model needs, from the markets it will run in.
Why do foot traffic models fail?
Thin, single-market location data trains a model on the wrong places.
Works in a few mapped cities. Breaks on the markets you actually serve.
Holds up across the markets your users move in.
What does thin foot traffic data miss?
Rwazi collects every one of these directly from the consumer network, so your model trains on the markets it will run in.
What does a foot traffic sample look like?
Your pack arrives as location records matched to your markets and movement pattern. Every record carries demographic metadata and a consistent naming convention, dropped straight into your cloud.
Foot traffic and footfall for stores and venues.
Request accessGPS trajectories across real journeys.
Request accessGeolocation and dwell for places and points of interest.
Request accessSensor metadata, attached to the core records.
Request accessWhat we capture to your spec
Two ways to collect your data
We collect both ways. You pick what fits your model.
Continuous capture
For models that track movement over time. Ongoing GPS and foot traffic across real journeys and markets.
Targeted capture
For a specific signal. Defined places, venues, and patterns collected to a tight brief.
Real-world mobility data from 190+ countries
Most location data covers a handful of mapped cities, so models stumble elsewhere. Rwazi collects GPS and foot traffic across 190+ countries, from a 5M+ consumer network, in the markets your users actually move in.
- 190+ countries
- 5M+ network
- GPS and foot traffic
- geolocation and dwell
- real markets and venues
What sets Rwazi mobile sensor data apart?
Built for the footfall and mobility models
Retail and CPG foot traffic
Footfall data covers a few mapped markets and misses the rest.
Real foot traffic and footfall across 190+ countries, with demographic metadata.
Location and mobility datasets for the task you are training
We build location datasets for machine learning, scoped to your task.
From your spec to your cloud, in four steps
Run it as a one-off project or a recurring refresh, weekly or monthly.
How Rwazi compares to other providers
The same data, captured in the real world. Here is how that stacks up against the alternatives.
Rwazi collects in the real world first.
Our 5M+ consumer network captures data in real environments across 190+ countries, so your models train on what your users actually produce.
Every record earns its place in your dataset
You write the pass-or-reject criteria. People review each record against those criteria and log who it belongs to, where, and when it was captured. We report what passed before the dataset reaches you.
Tell us your scope or book a live demo
Contact the Rwazi AI datasets team
Book a live demo
Questions teams ask before they buy
What is foot traffic data?+
Records of real visits to stores, venues, and places are used to train and inform location and demand models. Rwazi collects it for your spec across 190+ countries, with demographic metadata.
What location signals do you collect?+
GPS, foot traffic, footfall, geolocation, dwell, and trajectories, captured directly from real contributors.
Do you collect other sensor signals?+
GPS and foot traffic are the core. IMU and other sensor signals are attached as metadata to the core deliverable and scoped per job.
How current is the data?+
Collected on demand, so you receive data current to the markets and window you specify.
What coverage do you have?+
190+ countries, from a 5M+ consumer network, in real markets and venues.
How is it priced?+
We quote per project. The drivers are volume, markets, movement patterns, exclusivity versus licensing, and metadata depth. Send your brief, and we will price it.
How do you handle consent and privacy?+
Every contributor shares their location with explicit consent, sourced through Rwazi, and provenance accompanies each record.
How does this compare to modeled estimates?+
Modeled estimates infer movement and skew to mapped cities. Rwazi collects real location directly, to your spec, owned at the source.
What does a delivery look like?+
A quality-checked set in the format you choose, named to a consistent convention, with age, gender, and location tagged per record, dropped into your cloud.
Where can I buy GPS or mobility datasets?+
Tell us the markets and signal you need, and Rwazi scopes a bespoke location dataset, collected to spec and licensed or owned outright.