# Wherobots

> Wherobots is the context engine for physical world data: spatial compute and earth intelligence that ground AI agents and physical AI in the real world\.

Generated by Yoast SEO v28.6, this is an llms.txt file, meant for consumption by LLMs.

## Pages
- [Products](https://wherobots.com/products/)
- [Automate](https://wherobots.com/products/automate/)
- [AI for Earth](https://wherobots.com/products/ai-for-earth/)
- [Build](https://wherobots.com/products/build/)
- [Discover](https://wherobots.com/products/discover/)
- [Compute](https://wherobots.com/products/compute/)
- [Apache Sedona](https://wherobots.com/apache-sedona/)

## Posts
- [Introducing GeoStats for Wherobots and Apache Sedona](https://wherobots.com/blog/introducing-geostats/): We are excited to introduce GeoStats, a machine learning \(ML\) and statistical toolbox for Wherobots and Apache Sedona users\. With GeoStats, you can easily identify critical patterns in geospatial datasets such as hotspots and anomalies, and quickly get critical insights from large scale data\. While these algorithms are supported in other packages, we’ve optimized each algorithm to be highly performant for small to planetary scale geospatial workloads\. That means, you can get results from these algorithms significantly faster, at a lower cost, and do it all more productively, through a unified development experience purpose\-built for geospatial data science and ETL\. 
- [Wherobots Raster Inference is GA with Support for Bring Your Own Model](https://wherobots.com/blog/wherobotsai-raster-inference-is-ga/): We are excited to announce that Wherobots Raster Inference is now generally available\! Raster Inference is a serverless, planetary\-scale computer vision solution that extracts meaningful insights from aerial imagery \(raster data\) sources, such as satellites or drones, and puts these insights at the fingertips of data scientists and developers\.
- [Introducing WherobotsAI for planetary inference, and capabilities that modernize spatial intelligence at scale](https://wherobots.com/blog/wherobots-ai-spatial-sql-vector-tile-gen/)
- [Introducing kNN Join for Wherobots and Apache Sedona](https://wherobots.com/blog/introducing-knn-join-for-wherobots-and-apache-sedona/): We are excited to introduce the k\-Nearest Neighbors Join \(kNN Join\) for WherobotsDB and Apache Sedona 1\.7\.0\. With the kNN Join, you can efficiently find the closest entities to your points of interest from datasets at scale\. We’ve released two types of kNN Joins: the Exact kNN Join and the Approximate kNN Join\. With these two kNN Join options, you can efficiently find the closest entities to your points of interest from datasets at scale, and trade off performance versus accuracy needs\.
- [Introducing SedonaDB and SpatialBench for Apache Sedona](https://wherobots.com/blog/sedonadb-spatialbench-spatial-query-engine-apache-sedona/): The spatial\-first query engine and benchmarking framework for Apache Sedona

## Events
- [From Pixels to Predictions at Planetary Scale: RasterFlow Public Preview](https://wherobots.com/event/pixels-to-predictions-planetary-scale-rasterflow/)
- [Getting Started with GeoAI \& Map Matching](https://wherobots.com/event/geoai-map-matching-mobility-data-aerial-imagery-webinar/)
- [Wherobots at the Data \+ AI Summit](https://wherobots.com/event/data-ai-summit-2026/)
- [Turn Satellite Data into Risk Intelligence](https://wherobots.com/event/turn-satellite-data-into-risk-intelligence/)
- [CNG Forum 2026](https://wherobots.com/event/cng-forum-2026/)

## Jobs
- [Senior Machine Learning Engineer \- GeoAI Platform](https://wherobots.com/careers/senior-machine-learning-engineer-geoai-platform/)
- [Senior/Staff Cloud Infrastructure Engineer \- Networking \+ Security](https://wherobots.com/careers/senior-staff-cloud-infrastructure-engineer-networking-security/)
- [Senior Account Executive \- Enterprise East](https://wherobots.com/careers/senior-account-executive-global/)

## Solution Gallery
- [RasterFlow S2 Mosaic](https://wherobots.com/solution-gallery/rasterflow-s2-mosaic/)
- [RasterFlow ChangeDetection](https://wherobots.com/solution-gallery/rasterflow-changedetection/)
- [Isochrones](https://wherobots.com/solution-gallery/isochrones/)
- [Part 4: Spatial Joins](https://wherobots.com/solution-gallery/part-4-spatial-joins/)
- [Getis Ord Gi\*](https://wherobots.com/solution-gallery/getis-ord-gi/)

## Press Releases
- [HERE Technologies and Wherobots partner to give AI agents geospatial intelligence](https://wherobots.com/press/here-technologies-wherobots-partnership-ai-agents/): Wherobots and HERE Technologies have formed a strategic partnership to enable AI agents to understand and make precise, deterministic decisions about the physical world\.
- [Introducing Wherobots Raster Inference to Unleash Innovation with Planetary Imagery](https://wherobots.com/press/introducing-wherobots-raster-inference-to-unleash-innovation-with-earth-imagery/)
- [Wherobots' founders receive prestigious "ACM SIGSPATIAL 10\-Year Impact Award"](https://wherobots.com/press/wherobots-founders-receive-prestigious-acm-sigspatial-10-year-impact-award/)
- [Wherobots Raises $21\.5M in Series A Funding Led by Felicis to Modernize Geospatial and Climate Intelligence, Starting in the AWS Cloud](https://wherobots.com/press/wherobots-raises-21-5m-in-series-a-funding-led-by-felicis-to-modernize-geospatial-and-climate-intelligence-starting-in-the-aws-cloud/)
- [Wherobots Raises $5\.5 Million in Funding to Accelerate Development of Next\-Generation Data Platform for Geospatial Analytics \& AI](https://wherobots.com/press/wherobots-raises-5-5-million-in-funding-to-accelerate-development-of-next-generation-data-platform-for-geospatial-analytics-ai/)

## Landing Pages
- [Wherobots for Spatial Data](https://wherobots.com/lp/spatial-data/)
- [Wherobots for Geospatial Data](https://wherobots.com/lp/geospatial-data/)

## Discover
- [What is Geospatial Analysis? Methods and Examples](https://wherobots.com/discover/geospatial-analysis/): Geospatial analysis, or spatial analysis, examines where things are and how location shapes patterns\. Core methods, hot spots, examples, GIS vs spatial analysis, and SQL\.
- [What Is a Spatial Join? Predicates, Types, and SQL](https://wherobots.com/discover/spatial-join/): A spatial join matches rows from two tables by where their geometries sit\. How spatial joins work, the predicates and join types, and how to write one in SQL\.
- [Raster vs\. Vector Data: Differences, Formats, and Uses](https://wherobots.com/discover/raster-vs-vector-data/): Raster data is a grid of pixels\. Vector data is points, lines, and polygons\. How the two GIS data models differ, their formats, and how to combine them\.
- [What is the Havasu Catalog? A Spatial Data Catalog](https://wherobots.com/discover/havasu-catalog/): The Havasu Catalog is the Wherobots spatial data catalog: open geospatial datasets, RasterFlow models, notebooks, and apps, stored as Apache Iceberg tables and queryable in place with spatial SQL\.
- [What is Geospatial Data? Types, Formats, Examples](https://wherobots.com/discover/geospatial-data/): Geospatial data describes things tied to a place on Earth\. The two main types, vector and raster, plus formats, sources, and examples\.

## Categories
- [Wherobots MCP](https://wherobots.com/event_category/wherobots-mcp/)
- [RasterFlow](https://wherobots.com/event_category/rasterflow/)

## Formats
- [Online](https://wherobots.com/event_format/online/)
- [In Person](https://wherobots.com/event_format/in-person/)

## Types
- [Webinars](https://wherobots.com/event_type/webinars/)
- [Workshops](https://wherobots.com/event_type/workshops/)
- [Events](https://wherobots.com/event_type/events/)

## Locations
- [San Francisco](https://wherobots.com/job-location/san-francisco/)
- [Seattle](https://wherobots.com/job-location/seattle/)
- [North America \(EST\)](https://wherobots.com/job-location/north-america-est/)

## Employment Types
- [Full\-Time](https://wherobots.com/job-type/full-time/)

## Categories
- [Analyzing Data](https://wherobots.com/solution_category/analyzing-data/)
- [Getting Started](https://wherobots.com/solution_category/getting-started/)
- [Reading and Writing Data](https://wherobots.com/solution_category/reading-and-writing-data/)

## Categories
- [What is?](https://wherobots.com/discover_category/what-is/)
- [Raster](https://wherobots.com/discover_category/raster/)
- [Vector](https://wherobots.com/discover_category/vector/)
- [Joins](https://wherobots.com/discover_category/joins/)
- [Physical AI](https://wherobots.com/discover_category/physical-ai/)

## Optional
- [Sitemap index](https://wherobots.com/sitemap_index.xml)