Planetary-scale answers, unlocked.
A Hands-On Guide for Working with Large-Scale Spatial Data. Learn more.
Head of Product
I lead product for Wherobots. When I'm not building I'm likely outside on a river, mountain, or trail, and enabling my two kids to enjoy nature as much as I do.
How Wherobots builds with NVIDIA to let AI see the physical world
The world and what happens in it is digitized by petabytes of raw and derivative spatial datasets of various data types and scales, and the potential for applying AI to it is immense. But the AI models and agents we use every day need connectivity to tools that turn this data into usable insights and relationships. Wherobots gives AI the ability operate on and understand raw physical-world data, and NVIDIA GPUs are core to it. Architecturally here’s how this works at a high level.
Introducing the Wherobots Innovation Edition, designed to accelerate your physical world objectives
The Wherobots Innovation Edition helps you deliver outcomes on top of spatial data that propel your organization forward, and make this data AI-ready. Today we are announcing the Wherobots Innovation Edition. This is an annual partnership that pairs the full Wherobots Cloud platform with our forward deployed spatial engineering expertise, developed over years of delivering […]
WherobotsDB is 3x faster with up to 45% better price performance
The next generation of WherobotsDB, the Apache Sedona and Spark 4 compatible engine, is now generally available.
Wherobots and Felt Partner to Modernize Spatial Intelligence
We’re excited to announce Wherobots and Felt are partnering to enable data teams to innovate with physical world data and move beyond legacy GIS, using the modern spatial intelligence stack. The stack with Wherobots and Felt provides a cloud-native, spatial processing and collaborative mapping solution that accelerates innovation and time-to-insight across an organization. What is […]
Wherobots brought modern infrastructure to spatial data in 2025
We’re bridging the gap between AI and data from the physical world in 2026
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.
Introducing SedonaDB and SpatialBench for Apache Sedona
The spatial-first query engine and benchmarking framework for Apache Sedona
Wherobots Spatial Intelligence Engine Integrates with Databricks Unity Catalog for Spatial Data
Wherobots now federates with Databricks Unity Catalog to bring leading spatial data and GeoAI capabilities to the lakehouse.
Dekart Supports Wherobots as a Spatial SQL Engine
With Dekart now supporting Wherobots as a Spatial SQL engine, this combination creates a snappy, highly scalable query visualization experience for spatial data in your lakehouse.
