Introducing RasterFlow: a planetary scale inference engine for Earth Intelligence LEARN MORE

Compute and AI for the physical world

SELECT * FROM 

  • planet
  • oceans
  • climate events
  • maritime movement
  • fleet vehicles
  • electric grid
  • wildfire risk

The Spatial Intelligence Cloud
from the original
creators
of Apache Sedona.

Companies Accelerating Outcomes with Wherobots and Apache Sedona

Use cases for spatial data engineering

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.

Get hands on with Apache Sedona

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

“Working with Wherobots lets us focus on what matters — helping our clients make better land decisions. Their platform helps us scale efficiently while keeping our attention on real-world outcomes across energy, conservation, and development.”

Danan Margason
Founder & CEO at Aarden.ai

“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

Blog

Latest News

Introducing RasterFlow: a planetary scale inference engine for Earth Intelligence

RasterFlow takes insights and embeddings from satellite and overhead imagery datasets into Apache Iceberg tables, with ease and efficiency at any scale.

Wherobots and Taylor Geospatial Engine Bring Fields-of-the-World Models to Production Scale

Agriculture depends on timely, reliable insight into what’s happening on the ground—what’s being planted, what’s being harvested, and how fields evolve over time. The Fields of The World (FTW) project was created to support exactly this mission, by building a fully open ecosystem of labeled data, software, standards and models to create a reliable global […]

How Aarden.ai Scaled Spatial Intelligence 300× Faster for Land Investments with Wherobots

When Aarden.ai emerged from stealth recently with $4M in funding to “empower landowners in data center and renewable energy deals,” the company joined a new wave of data and AI startups reimagining how physical-world data drives modern business. Their mission: help institutional land investors rapidly evaluate the value and  potential uses of land across the country. […]

Your Perfect Week for Geospatial at AWS re:Invent 2025

December means it’s time for AWS re:Invent in Las Vegas! Thanks to our friends at Felt, we’ve mapped out what your perfect week for geospatial could look like — so you don’t miss a thing! 📍Find Wherobots at booth #1239 in the Expo Hall Start your conference by visiting us in the Expo Hall — […]

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Modernize your spatial data
in the lakehouse today.