Urbanix
Animation: location points scattered over a hexagonal grid. A geofence outline draws itself, the points inside it light up and blend into a soft heatmap.

Understand how the world moves.

Location data products for AdTech, telco, mobility and logistics. From raw signals to audiences, analytics and fraud detection, with privacy built in at every step.

  • 100M+daily records processed
  • 6industry use cases, from AdTech to fraud prevention
  • GDPR & CCPAaligned by design

Urban location intelligence, built for scale and privacy.

Urbanix turns consented location signals into data products that teams can actually use. We clean, anonymize and structure location data, then shape it into the form your use case needs: raw feeds for your own models, audiences for campaigns, analytics for planning, or signals that expose fraud.

Map of an abstract city with a geohash grid on top. As you scroll, the grid zooms into one cell at a time, from the whole city down to a single block: s, se, se7, se7s.

From raw signal to decision

Five product lines. Start where your team is, move up when you need more.

Consented, anonymized device-level location events for teams that build their own models.

Read more about raw location feeds
Location points inside a polygon drawn around a shopping mall, busiest along the central corridor, with parking lots and roads around it.

Visits, dwell time, points of interest and area-level patterns, ready to analyze.

Read more about enriched location data
Three stacked map layers: location signals inside an area, the same signals grouped into geospatial cells, and the places they belong to, such as a mall and stores.

Privacy-safe audience segments built from real-world behavior, ready for activation in AdTech platforms.

Read more about location audiences
A geofence outline around a group of location points, with the points inside highlighted.

Footfall, heatmaps, catchment areas and movement flows between places.

Read more about location analytics
18:00
A heatmap over an abstract city district that changes with the hour of day.

Signals that reveal spoofed locations, impossible travel and geo mismatches in traffic.

Read more about location integrity and fraud detection
Two points 812 km apart, seen 3 minutes apart. The line between them turns pink and is flagged as impossible travel.

Built for the teams that work with place

  • AdTech and marketing

    Location-based audiences, store visit attribution and smarter geotargeting.

  • Telco

    Mobility patterns and area insights that complement network data.

  • Mobility and transport

    Origin and destination flows, peak hours and route demand.

  • Logistics

    Dwell times, hub activity and delivery area patterns.

  • Retail and real estate

    Footfall trends, catchment analysis and site selection.

  • Fraud and risk

    Location integrity checks for ad traffic, apps and transactions.

Where we work

Our location data products focus on fast-growing markets, with deep expertise in the Middle East and North Africa.

World map made of small dots. The Middle East and North Africa are dark green (core region). Asia, Australia, Canada and South America are light green (available). All other areas are gray (not offered).
  • Core region
  • Available
  • Not offered

Privacy is part of the pipeline

Every product passes through the same steps before it reaches you.

  1. Step 1: Collect

    Location data comes only from SDK partners and publisher integrations with user consent.

  2. Step 2: Clean

    Sensitive places are removed, together with low-quality and implausible signals.

  3. Step 3: Anonymize

    Device identifiers are replaced with salted, rotating hashes.

    Animation: a readable device identifier scrambles into a hexadecimal hash, which then changes again to show rotation.
  4. Step 4: Aggregate

    Where a use case allows, data is grouped into geohash cells and minimum group sizes apply.

  5. Step 5: Deliver

    Data reaches you in the format and cadence your team needs, under a data processing agreement.

Ethical by default

Location data is personal. We treat it that way. Our products are designed to meet GDPR and CCPA requirements, and our principles go further than the minimum.

  • Consent first

    We work only with data collected with user consent.

  • Sensitive places excluded

    Healthcare facilities, places of worship, shelters and similar locations are removed from our data.

  • Anonymous by design

    We never sell names, emails, phone numbers or other direct identifiers.

  • As little as needed

    Precision and detail match the use case, nothing more.

  • Opt-outs honored

    User opt-out and deletion requests are respected across our products.

  • Responsible use

    We do not support uses that target individuals or vulnerable groups.

Questions about our data practices? Write to privacy@urbanixsolutions.com

Let's talk about your use case

Tell us what you want to understand about how people move. We will tell you how location data can help.

Contact us