AI DATASETS · MOBILE SENSOR

Buy custom foot traffic and mobile sensor data from the real world.

Days from request to delivery. Bespoke GPS and foot traffic data, captured by real people across 190+ countries, with sensor metadata attached as per your use case.

  • 190+ countries
  • 5M+ contributor network
  • GPS, foot traffic, and geolocation
  • zero-party, straight from real contributors

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Seven data types, collected to your requirement.

MODALITY · 05 / 07

Mobile Sensor

GPS and foot traffic at scale, with sensor metadata attached.

190+ countriesGPS + metadataOn-device capture
Explore sensor
WHAT YOU GET

Bespoke location data, built to your spec.

The GPS and foot traffic your model needs, from the markets it will run in.

Captured to your spec.

Any market, any movement pattern, on demand.

GPS at the core.

Foot traffic and geolocation, with sensor metadata attached.

Demographic metadata, built in.

Each record is tagged by age, gender, and location.

Request a sample sensor dataset License it from our library, or own it outright.
WHY LOCATION MODELS FAIL

Why location models fail.

Thin, single-market location data trains a model on the wrong places.

Trained on thin or single-market data

Works in a few mapped cities, slips on the markets you actually serve.

Trained on real-world location data from Rwazi

Holds up across the markets your users move in.

WHAT THIN LOCATION DATA MISSES

What thin location data misses.

Market coverage.

Real foot traffic across 190+ countries, beyond a few mapped cities.

Visit patterns.

Dwell time, repeat visits, and the journeys between places.

Device variety.

GPS from real phones in real conditions.

Demographic context.

Who the visit belongs to: age, gender, and location.

Real places.

Stores, streets, transit, and public spaces.

Consent and provenance.

Location shared directly, under explicit consent.

Rwazi collects all of it from real people, so your model encounters it during training before it ships.

SAMPLE TYPES

Real location samples for cases like yours.

A requested pack arrives, with location records matched to your markets and pattern, each carrying demographic metadata and a consistent naming convention, and is dropped into your cloud.

SAMPLE 01

Foot traffic and footfall, for stores and venues.

Gated request
SAMPLE 02

GPS trajectories across real journeys.

Gated request
SAMPLE 03

Geolocation and dwell, for places and points of interest.

Gated request
SAMPLE 04

Sensor metadata is attached to the core records.

Gated request
Request a sensor sample pack
WHAT WE CAPTURE

What we capture, to your spec.

GPS

Location at scale, captured directly from real contributors.

Foot traffic and footfall

Visits to stores, venues, and points of interest.

Geolocation and dwell

Where people go and how long they stay.

Trajectories

Movement and journeys between places.

Sensor metadata

IMU and other signals are attached to the core deliverable, scoped per job.

Coverage

190+ countries, from a 5M+ contributor network.

Demographic metadata

Age, gender, and location on every record.

Scale

From a focused pull to large recurring collections, collected to your spec.

Formats and delivery

JSON and CSV, delivered to S3, Azure Blob, GCS, or SFTP.

COLLECTION MODES

Captured your way, continuous or targeted.

We work both ends of the spectrum. You pick the location data your model needs.

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.

Book a call with our team
GLOBAL COVERAGE

Real-world location 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+ contributor 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 APART

What sets Rwazi location data apart?

Tagged at the source.

Every record carries who it belongs to: age, gender, and location, captured the moment the location is shared, with deeper fields on request. That tagging is what turns a coordinate into a decision.

Real, from real people.

The location is shared directly, so it reflects where they actually went, and a real signal captured the moment it happens.

Captured on demand, in your markets.

We collect across 190+ countries, so your model trains on movement from the markets it serves.

Yours, with clean provenance.

Vetted contributors share location under explicit consent; it is zero-party, Rwazi-owned, and delivered to you licensed or outright.

Quality checked, every record.

People review each record against your pass-or-reject spec before it ships.

USE CASES

Built for the location AI you are shipping.

Retail and CPG foot traffic.

Problem

Footfall data covers a few mapped markets and misses the rest.

Solution

Real foot traffic and footfall across 190+ countries, with demographic metadata.

Impact
Visit coverage matched to the markets you sell in.
BY TASK

Location datasets for the signal you are training.

Rwazi builds location datasets for machine learning, scoped to the task, including:

Foot traffic datasets and footfall datasetsGPS datasets and geolocation datasetsMobility datasets and trajectory datasetsIMU and motion signals, attached as metadata
HOW IT WORKS

From your spec to your cloud, in four steps.

01 · Define

Tell us the markets, movement patterns, sensor metadata, volume, and your pass-or-reject spec.

02 · Collect

Real people across 190+ countries share that spec, continuous, or targeted.

03 · Quality control

Validated against your pass-or-reject criteria before delivery.

04 · Deliver

JSON and CSV arrive in your S3, Azure Blob, GCS, or via SFTP, ready to train.

Run it as a one-off project or a recurring refresh, weekly or monthly.

Book a call to know more about mobile sensor data.
COMPARISON

How Rwazi compares to other providers.

The same data, captured in the physical world. Here is how that stacks up against the alternatives.

Recommended
Rwazi
Option 1Option 2Option 3
Real-world dataPhysical-world across 190+ countriesDigital-firstLimited physicalInconsistent
Mobile-native5M mobile devicesDesktop focusLimitedWeb-based
Geographic coverage190+ countriesUS/Europe biasLimited coverage70 countries
Data modalitiesAudio, video, image, GPS, sensorImages/textAudio/textBasic tasks
Pricing transparencyTransparent tiersOpaque ($93K)ComplexTransparent tiers
QualityMulti-tier validation98%+ (claims)VariableLow pay risk
ComplianceGDPR ready, SOC 2 in progressFedRAMP, SOC 2SOC 2, ISO 27001Limited

Rwazi plays in physical-world-first AI.

5 million mobile users collecting authentic data from real environments in 190+ countries. Making your models more competitive with real life data.

QUALITY & TRUST

Every record earns its place in your dataset.

Each record is reviewed and checked against quality criteria, and logged with who it belongs to, where it is, and when. We report what passed before the dataset reaches you.

Quality is reviewed at every stage
Provenance is recorded on every record
Shared under explicit consent
Rwazi-owned, yours to license or own outright
Compliance shared once verified (SOC 2 / GDPR pending; we show only what is confirmed)

Tell us your scope or book a live demo with us.

++++

Contact The Rwazi AI Datasets Team

Which of the following best describes your role?

Book A Live Demo

FAQ

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.

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.

What coverage do you have?+

190+ countries, from a 5M+ contributor network, in real markets and venues.

What formats and delivery do you support?+

JSON and CSV, delivered to your S3, Azure Blob, GCS, or SFTP.

How do you handle consent and privacy?+

Every contributor shares their location with explicit consent, sourced through Rwazi, and provenance accompanies each record.

What does a delivery look like?+

A QC'd set in the format you choose, named to a consistent convention, with age, gender, and location tagged per record, dropped into your cloud.

What location signals do you collect?+

GPS, foot traffic, footfall, geolocation, dwell, and trajectories, captured directly from real contributors.

How current is the data?+

Collected on demand, so you receive data current to the markets and window you specify.

Does each record include demographics?+

Yes. Age, gender, and location on every record, with richer fields available on request.

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 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.

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.