Wherobots

What is Wherobots? It's a question we get asked sometimes, so we wanted to make it super easy to understand. That's why we created this handy explainer video. Check it out here 👇

A big thank you to #GeospatialRiskSummit for hosting the Tech Workshops yesterday! Matt Forrest led a great workshop on flood analysis, and Daniel Smith presented a fantastic session on cloud-native insurance risk concentration analysis. We truly appreciated everyone who attended and enjoyed meeting so many amazing folks!

✨ From groundbreaking technical features and expanded engine support to community growth, 2024 has been an incredible year for Apache Sedona. Read on to learn more about its accomplishments and what’s ahead in 2025. https://lnkd.in/gESMRHsE

Our latest blog showcases how Apache Sedona and #DeltaLake make geospatial data workflows smoother and faster. 🚀 Learn how to: ✅ Set up Apache Sedona to run spatial queries ✅ Store geospatial data with Delta Lake for reliability and efficiency ✅ Use Sedona’s spatial functions for distributed data processing Explore how Sedona extends #Spark with spatial data types and functions and how Delta Lake enhances performance with advanced clustering and transactions. 🔗 Dive in: https://lnkd.in/et8GqZpF Credit: Avril Aysha #opensource #oss #linuxfoundation #lfaidata #apachesedona

2024 was a transformative year for Wherobots. Our mission to revolutionize how geospatial data is used made significant strides forward, positively impacting our customers and industry. Here are some key highlights: 💸 Tripled the size of our team and closed a $21.5M Series A funding round 🤝 Integrated with AWS Marketplace to simplify the buying and usage experience 🌎 Launched groundbreaking features like Raster Inference, Map Matching, and GeoStats, empowering users to create scalable geospatial solutions Learn more about what we've accomplished and what's coming next: https://bit.ly/4jrPRJq

You don't want to miss this! 👇 ➡️ Register here: https://lnkd.in/guHzhFT5 ➡️ Get your free Wherobots cloud account here: https://bit.ly/4h267Pv

Thank you Eshwaran Venkat ⎋ for the breakdown on your upgraded ↗️ tech stack! Glad that we can help and be a part of it, and can't wait to see you continue to do great things! 🌟

What are the challenges of applying AI/ML to geospatial problems? 🤔 Join the WherobotsAI team, along with panel speakers and creators of the MLM STAC Extension, as they discuss how this led to the development of an open, portable solution for describing computer vision models trained on overhead imagery. 🌎 🌟 We have an incredible lineup of panelists: Jed Sundwall from Radiant Earth Francis Charette Migneault, ing. from CRIM Simone Vaccari from Terradue Matt Forrest from Wherobots Ryan Avery from Wherobots Topics include:  - MLM STAC Extension: A standardized set of fields to describe ML models trained on overhead imagery and enable model inference. - Raster Inference: A computer vision solution for extracting insights from aerial imagery, using Wherobots’ hosted models or bring your own. 📅 Wednesday, February 12 at 9AM PT ➡️ Save your spot here: https://lnkd.in/gSpww2nc 

Analyzing flood extent during a flood event can be very challenging when most events are driven by rain and imagery with cloud cover. Join Matt Forrest at the Geospatial Risk Summit for a tech workshop, where he’ll use data from sensors in rivers and streams around the United States to create a real-time analysis of potentially flooded areas, incorporating elevation drainage data for the entire nation, which can be updated as frequently as needed. https://lnkd.in/gvqFntRE #GeospatialRiskSummit

For those recovering and responding to the SoCal wildfires, our hearts go out to you. Several team members from our engineering group are based in the area. It's been so sad to see it all unfold. This past fall, Daniel Smith prepared a wildfire risk analysis as part of a workshop he delivered. Unbeknownst to him, it was quite accurate in predicting the potential origins of these terrible fires. They were prepared and made available on our community tier (so can be done for free just by signing up). You can get the original analysis from the workshop deck here: bit.ly/geo-risk-analysis Also, thank you to Bill Eerdmans for sharing in the comments of Daniel's post: Wildfire Recovery Fund: https://lnkd.in/g7C3C6An Fire Department supplies: https://lnkd.in/gHVjpiGi