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Scalable Spatial Intelligence for Mobility & Map Makers

Process billions of data points in seconds and unlock instant and continuous freshness of your data assets, for your and your customer’s benefit.

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Companies Accelerating Outcomes with Wherobots and Apache Sedona

why wherobots for mobility data

Expensive operations
Inaccurate outputs
Complex joins
Siloed data
Fixed Infrastructure
Expensive operations
Industry Problem

Expensive operations

Trajectory processing takes hours or days when analyzing billions of GPS points across millions of devices, delaying location intelligence products and fleet optimization insights

Wherobots solution

Efficient answers: process trajectories up to 20× faster

Quickly process trajectories up to 20x faster with Wherobots handling billions of GPS points in minutes using distributed spatial processing

20×
faster
Inaccurate outputs
Industry Problem

Inaccurate outputs

Trajectory processing takes hours or days when analyzing billions of GPS points across millions of devices, delaying location intelligence products and fleet optimization insights

Wherobots solution

Precise resolution

Transform raw GPS traces into accurate routes with WherobotsAI’s distributed map matching processing millions of trajectories against road networks.

99.8%
Route Accuracу
Complex joins
Industry Problem

Complex joins + millions of POIs overwhelms systems

Foot traffic analysis across millions of POIs requires complex spatial
joins that overwhelm traditional data systems and even modern warehouses

Wherobots solution

Simplified DevEx: Distributed spatial joins

Wherobots supports distributed spatial joins, processing
movement patterns across millions of points of interest simultaneously

Processing efficiency
Billions
of POIs in seconds
Siloed data
Industry Problem

Siloed data

Multi-source mobility data remains siloed when platforms can’t efficiently
integrate GPS traces, road networks, building polygons, telematics data, raster data, and geospatial regional context at scale in a single platform.

Wherobots solution

Spatial lakehouse

Wherobots allows you to unify your mobility data with native support for
trajectories, vector data, and raster data on a single lakehouse platform powered by Apache Sedona and Iceberg.

100%
Unified
Fixed Infrastructure
Industry Problem

Fixed Infrastructure

Foot traffic analysis across millions of POIs requires complex spatial
joins that overwhelm traditional data systems and even modern warehouses

Wherobots solution

Serverless efficiency: Pay only for what you use

Wherobots supports distributed spatial joins, processing
movement patterns across millions of points of interest simultaneously

70%
In common savings

“With Apache Sedona, we process millions of fleet-derived traffic signs, using scalable spatial joins and partitioning to automate map updates—enhancing Amazon Last Mile’s delivery networks for faster, more reliable routing.”

Arka Pratim Das
Sr. Manager, Software Development, Amazon Maps

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Schedule a demo to see how leading insurers process billions of location records and work with raster and vector data in the same platform.

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FAQ

How is Wherobots useful for mobility data companies?

Wherobots enables mobility data companies to process massive amounts of geospatial data quickly and efficiently. It solves the challenge of computationally expensive spatial joins, allowing for rapid analysis of billions of data points in minutes. This empowers companies to build scalable data products and gain enterprise-grade spatial insights for use cases like route optimization, fleet management, urban planning, and near real-time location services.

We use H3 to process our data, do we still need Wherobots?

Yes, Wherobots can still provide significant value even if you use H3. While H3 is excellent for discretizing spatial data, Wherobots, built on Apache Sedona, offers a comprehensive spatial analytics platform that excels at large-scale spatial operations, including complex spatial joins, queries, and analytics across diverse geometries, even when working with H3 indices. It complements H3 by providing the scalable infrastructure and advanced functions needed for deeper analysis and integration with your data lakehouse.

What types of mobility data (e.g., GPS, mobile device, IoT, vehicle location data) does Wherobots support?

All of the above and more. Wherobots is designed to support a wide variety of mobility data types, including but not limited to GPS traces, mobile device location data (bidstream, app data), IoT sensor data from vehicles or infrastructure, and general vehicle telemetry. Its robust spatial engine can ingest, process, and analyze diverse geospatial formats and structures common in the mobility sector.

What are the typical deployment options for Wherobots for mobility companies?

We deploy as a managed cloud service. But we also have options for bring-your-own-cloud and VPC.

How does Wherobots compare to other geospatial tools specifically for large-scale mobility datasets?

Wherobots differentiates itself by focusing on extreme scalability and performance for large-scale spatial operations, especially computationally intensive tasks like spatial joins and aggregations on billions of points. Built on Apache Sedona, it leverages distributed computing frameworks, making it significantly more efficient for big data mobility analytics compared to traditional GIS tools or less optimized geospatial libraries or cloud data warehouses.
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in the lakehouse today.

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