The Gap Between Spatial Data & AI Insights 🌍 Spatial data is everywhere: satellites monitoring crops, drones scanning infrastructure, sensors tracking mobility patterns. Industries from logistics to agriculture to insurance depend on it. But there's a problem: the tools weren't built for spatial data. Developers face workarounds, slow performance, and high costs just to get basic insights. When you can go from idea to production in minutes instead of months, you unlock entirely new categories of innovation. Our Head of Product, Damian Wylie, breaks down the challenge and explains how we're closing this gap. The vision? AI agents that work directly with physical world data to answer questions like "How fast is this fire spreading?" instead of scraping the web for an answer. 👉 Check out the full interview on SD Times: https://lnkd.in/eRmuJQbz
Wherobots
Software Development
San Francisco, CA 9,015 followers
The Spatial Intelligence Cloud, by the original creators of Apache Sedona. Planetary-scale answers, unlocked.
About us
Wherobots, the Spatial Intelligence Cloud, enables any data team to innovate with data about the physical world faster, at greater scale, and at lower cost compared to traditional solutions. Built by the creators of Apache Sedona, it's a lakehouse engine that unifies spatial and non-spatial data, automates data workflows, and runs AI on planetary scale imagery. Spatial data refers to information about places, objects, or activities. Examples include GPS points and tracks, routes, land, road, parcel, crop, and building data, as well as imagery from drones and satellites. This data is fundamental to various industries including mobility, ag-tech, insurance, energy, telecommunications, retail, and logistics. In one solution, Wherobots handles these diverse spatial data types and formats, with customers seeing production workloads run up to 20x faster and at lower cost than popular lakehouse engines. For more information, visit www.wherobots.com.
- Website
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https://www.wherobots.com
External link for Wherobots
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2022
- Specialties
- Spatial Computing, Spatial Data+AI, CloudPlatform, Spatial SQL, Spatial Python, Scalable Data Infrastructure, Cloud, spatial intelligence, and AI
Locations
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Primary
Get directions
San Francisco, CA, US
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Get directions
Seattle, WA, US
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Get directions
350 California St
Ste 400
San Francisco, California 94104, US
Employees at Wherobots
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Ken Philipp
Sales and Business Development Leadership
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Jeff Pettiross
Collaborative leader and seasoned designer with engineering roots and a passion for data. Ex-Tableau and Microsoft, serial entrepreneur, 27 patents.
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Maxime Petazzoni
Head of Engineering @ Wherobots
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Ben Pruden
Building Wherobots (ex-Elastic :: ESTC, ex-Salesforce :: CRM)
Updates
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Heading to FOSS4G North America? Don’t miss Matthew Powers, CFA's session on geospatial support in Apache Iceberg, a game changer for both the geospatial and Iceberg communities. Catch a live demo featuring Apache Sedona and Apache Spark, showing how to manipulate and query geospatial data in action. 📅 Details: November 4, 3:30–4:00 PM | Lake Audubon 👋 Find us at booth #8 to meet Ken Philipp and Matthew Powers, CFA! Let’s chat about your geospatial data projects and explore how Wherobots or SedonaDB can help. 📩 Feel free to DM us to set up a time to connect.
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Get real-world insights and see how Amazon Web Services (AWS), Spyrosoft, and Wherobots are transforming operations and decision-making through scalable, AI-powered spatial intelligence. Topics include: 🌍 The rapid growth of geospatial data and how AI is revolutionizing its use across industries 🛰️ AI-powered vector and raster processing at country and global scale, including a “Fields of the World” example spanning all of Europe 📊 A live demo showcasing massive-scale land cover analysis that delivers real business outcomes If you work in aerospace, utilities, or environmental intelligence, or if you’re looking to leverage location-based insights to drive smarter decisions, then this is for you! 🎤 Speakers: Miriam Puertos from AWS Michał Wierzbiński from Spyrosoft Kyle Ryan from Wherobots ➡️ Register now: https://bit.ly/4qzOV9q
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Using Apache Airflow to orchestrate geospatial data pipelines can unlock efficiency, reduce costs, and accelerate iteration speed. In the latest episode of The Data Flowcast, hosted by Kenten Danas from Astronomer, Alex Iannicelli (Overture Maps Foundation) and Daniel Smith (Wherobots) discuss how to leverage Apache Airflow and Apache Sedona to process massive geospatial datasets, build reproducible pipelines, and orchestrate complex workflows across platforms for geospatial ETL. 🎧 Listen now: https://lnkd.in/gTvb-zgk
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Wherobots reposted this
Just registered for Energy Trading Week Americas 2025 taking place on October 29–30, 2025 at The Royal Sonesta Houston Galleria. https://lnkd.in/gxaGwnYy Bringing together 1200+ energy trading experts, the conference promises two days of valuable discussions and connections. Looking forward to seeing many of you there! #energytradingweek #energytradingweekamericas #energytrading
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So glad you were able to join the meetup last week! Thanks Jun Xiong!
🚀 Joined the TorchGeo Meetup: Building GeoAI with PyTorch — and absolutely loved it! Fascinated by Isaac C.'s presentation on how the team processed all Sentinel-2 CONUS imagery for the Fields of the World (FTW) project 🌎 in collaboration with the Taylor Geospatial Engine team. 🧭 He even showed an impressive global mapping demo right in the browser and shared a number that caught everyone’s attention: > Building a nationwide 2024 farmland boundary map in ~30 minutes and just a few hundred dollars — of course, which is backed by 3 months of development and 20 years of domain expertise. 💡 After the talk, Isaac generously satisfied my curiosity by sharing how they partitioned FTW inference jobs to feed GPUs efficiently and used Kubernetes to orchestrate compute without hitting I/O bottlenecks. Since I’ve worked on similar large-scale mapping challenges, it was truly exciting to learn the latest tricks and engineering insights from the field. Can’t wait to read his upcoming paper! 📄 I’ve been following FTW since its early spec phase and even joined one of their workshops — seeing how far they’ve come on the engineering side was deeply inspiring. Here is the FTW's website and map portal: https://fieldsofthe.world/ https://lnkd.in/gH4_XKcT 🌤️ Compared with the current AI hype, I actually think good time is coming for cloud computing in geoscience — we can deliver maps fast and affordably enough. And if AI can help bridge the gap between mapmakers and map users, that’s even better. 💭 What do you think? #GeoAI #TorchGeo #FTW #RemoteSensing #Geospatial #CloudComputing #Wherobots
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Wherobots reposted this
🌎 Helping geospatial professionals grow using technology · Scaling geospatial at Wherobots
This is what a massive spatial join looks like run entirely in the cloud. All the data processing happened in Wherobots, and the results were visualized directly in Felt. No desktop GIS, just cloud-native geospatial from start to finish. The join calculated the distance from every land cover type to the nearest river across thousands of polygons something that would crash most local systems. This is what modern spatial analytics looks like: scalable, interoperable, and built for the cloud. 🌎 I'm Matt and I talk about modern GIS, earth observation, AI, and how geospatial is changing. 📬 Want more like this? Join 10k+ others learning from my newsletter → forrest.nyc
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Can you use PMTiles with Esri’s JavaScript API? 🤔 At first, we assumed the answer was no. The ArcGIS Maps SDK for JavaScript doesn’t list any native support for the PMTiles format, and on the surface it looked like a dead end. But we love a good challenge and it turns out the answer is actually YES. With a clever workaround, you can use the fast, serverless benefits of PMTiles inside your Esri maps. 😎 We broke down the problem, explained why PMTiles matters, and showed how we got both systems to work together. 👉 Follow along to see how we cracked it and how you can too. https://bit.ly/4hOzN4d
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It’s almost that time of year again, and we’re back with another Geo Party! 🎉 🌍 Hosted by Wherobots and Felt, join us on Monday, December 1st, during AWS re:Invent, for a fun evening of community, conversations, and all things geospatial. Whether you’re processing geospatial data, building maps and visualizations, or implementing GeoAI models for planetary-scale insights, this is the perfect opportunity to exchange ideas and grow your network. ⚠️ Spots are limited. RSVP to save your spot! ✨ ➡️ https://bit.ly/4hvo2PY #AWSreInvent
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🚚 Struggling to make sense of raw GPS data from your fleet? You’re not alone and we’ve got a better way. Join Sean Knight and Kyle Ryan as they dive into turning raw vehicle GPS data into powerful fleet insights using Wherobots. We’ll walk through how logistics and mobility teams can: ✅ Ingest and transform raw GPS data ✅ Map-match traces to road networks ✅ Build analytics-ready datasets to power: Hard stop/start detection, emissions tracking, turn frequency insights, high-risk zone identification and more Finally, see how Dekart turns these datasets into rich visualizations and ad hoc SQL queries. If you’re working in mobility, logistics, or urban analytics, you won't want to miss this! 👉 Reserve your spot now: https://lnkd.in/g62gk5K2 📅 Wednesday, November 5, 2025 🕙 10:00 AM – 11:00 AM PST
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