Compute and AI for the physical world

The spatial intelligence cloud
from the original
creators
of Apache Sedona.

Companies Accelerating Outcomes with Wherobots and Apache Sedona

Use cases

Planetary Scale
analytics

Spatial joins

Perform spatial joins on millions of records for less than 50¢

GPS Map Matching at Scale

Match GPS points to roads for millions of records with no APIs

Detect Airplanes from Satellite Imagery with AI

Use text prompts and AI to find airplanes in satellie imagery for $2.50

Wherobots is lakehouse ready for AWS and Databricks Unity Catalog

Apache Sedona
Apache Parquet
Apache Iceberg
PyTorch

Benefits
for Data Practitioners

Up to 20x better performance, unlimited scale, at 1/n the cost

Wherobots runs faster at a lower cost with higher scale than other engines for processing physical world data

Join Vector, Raster & Structured Data Seamlessly

Build a complete picture over space and time from every aspect

AI for Satellite & Drone Imagery

Extract insights from imagery using pretrained or custom models

SQL, Python, and Scala Ready

Build with the tools your team already knows

Lakehouse ready with Apache Iceberg Included

Upserts, inserts, and transforms on spatial data at any scale.

Fully Compatible with Apache Sedona

Lower the cost of your existing workflows with zero code changes.

How it works

Turn spatial data into products
you can build on
in your Lakehouse

For teams focused on

Data Engineering

Build innovative data products using high performance workflows that mix spatial and non-spatial data

Data Science

Validate and take ideas about the physical world to market faster.

Machine Learning

Easily generate inference results across small to large areas of interest with custom or off-the-shelf GeoAI models

“Overture’s 2.6B-building dataset now runs up to 20x faster on Wherobots, with a simple code redirect that kept Sedona compatibility and made our team more productive.”

Jennings Anderson
Software Engineer with Meta for Overture

“With Wherobots on AWS, we can now scale to millions of acres reliably and cost-effectively—delivering faster results and more value to our customers.”

G. Bailey Stockdale
CEO Leaf Agriculture

“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

“Getting data, algorithms, and compute in one place with Spark/Sedona notebooks is a huge boost—powerful like Earth Engine, but with the control developers need to get jobs done.”

John Powell
Sr. Geospatial Data Engineer, AddressCloud

39 days of processing reduced to <1 day—delivering faster, more accurate population insights to our logistics and supply chain customers worldwide.”

Jerome Urbain
Head of Products at GeoPostcodes

Make the impossible possible
with spatial data

Industries depend on spatial data 

Real Estate
Finance
Retail

Create market differentiation by enhancing location based investment decisions at a higher scale

Industries depend on spatial data 

Ag-Tech
Climate Change
Insurance

Drive sustainability initiatives at a higher scale with a better understanding of what’s happening on Earth

Industries depend on spatial data 

Mobility
Data Products
Automotive

Fuel mobility and automotive innovation with GPS-scale data and intelligent, automated spatial models

Our team of experts will show you the art of what’s possible

Sphere

Get started

Modernize your spatial data
in the lakehouse today.