Introducing: Agentic Queryable Earth!! We've leveled up Queryable Earth to make it more conversational and to unlock the ability for it to integrate with external tools and data sources. More info: element84.com/geospatial/i...

Introducing the new Agentic Queryable Earth: Conversational, Composable, and Traceable • Element 84

We discuss the evolution of Queryable Earth into Agentic Queryable Earth, including a more conversational experience.

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New on the blog 📢 🚨 Jarrett Keifer is revisiting the age-old question, is Zarr the new COG?? Spoiler alert: the answer is still no 😅 Jarrett reviews changes and updates from past year and discuss the shrinking gap between the two data formats. element84.com/software-eng...

Is Zarr the New COG? Round 2! • Element 84

We revisit the question: is Zarr the new COG? We review changes from the past year and discuss the shrinking gap between the two data formats.

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We're gearing up for next week's @esipfed.bsky.social Summer Meeting! One main highlight for our team will definitely be Tuesday's ESDIS AI/ML Strategies session -- don't miss it!!

It's officially Geospatial Tech Radar Season!! Our E84 team is hard at work developing the 2026 edition of our annual Geospatial Tech Radar -- and, as always, we're accepting external community contributions! Chime in: docs.google.com/forms/d/e/1F...

We appreciated the opportunity to discuss access to open data at #AIforGood Global Summit in #Geneva on Thursday! 🌍🤝 Dan Pilone shared the stage with several interdisciplinary leaders to discuss "Open Data for All: Moving Beyond Raw Data to Real Impact".

New on the blog! 🚨 📢 We're discussing the typical conversation structure we have with new-to-us organizations, and we're sharing FAQs that we regularly answer during introductory calls. Anything you're curious about that we didn't cover? element84.com/company/gett...

Getting Acquainted with Element 84: A Guide to our Intro Client Calls  • Element 84

In this blog we give a sneak preview into the typical conversation structure we have with new-to-us organizations through frequently asked questions that we regularly answer during introductory calls.

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We are excited to be part of the #AIforGood Global Summit next week in #Geneva! Dan Pilone will be contributing to a session focused on the importance of accessible and high quality data as it relates to AI, "Open data for all: Moving beyond raw data to real impact". #AIforGood

If you've ever wondered how our E84 team approaches Federal contracts, we have a new blog just for you! We spotlight a recent conversation with our Federal Director, Mark Reese, and discuss what's next for E84 in the federal space. element84.com/company/fede...

Federal Director Profile: A Conversation with Mark Reese  • Element 84

In this blog, we sit down with Mark Reese to discuss his personal connection to his work, and how he sees E84’s work in the federal space continuing to evolve.

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We'll be in DC next week for the @awscloud.bsky.social AWS Summit! We're no strangers to this event, and we always appreciate the opportunity to learn about new innovations across a variety of industries. If you'll be there too, let us know. We'd love to chat!

🚀 🚨 We're continuing to update our careers page over on our website! The newest opening on our team is for an Azure DevOps Engineer. Check out the full job listing: jobs.ashbyhq.com/element84/ca...

LLMs don't naturally have the ability to form and store short or long-term memories. This weekend at the UMD Workshop on GeoAI for Autonomous Spatial Analysis, @jasongilman.bsky.social presented a lightning talk focused on memory and autonomy as it relates to Queryable Earth and LLMs. (1/2)

Want to be the first to hear about new roles @ E84? We're hiring for several positions (check them out now on our careers page!) and we're preparing to post more soon. We send emails to folks signed up for this list to share new jobs as they go live: element84.com/who-we-are/c...

Sign-up for Job Alerts • Element 84

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Do you get the @cloudnativegeo.org emails in your inbox? 📬☁️🗺️ We love hearing from the CNG community and learning about the latest in cloud native geospatial news, blog posts, and upcoming workshops. Most recently, the CNG team spotlighted new opportunities to join our E84 team!

New on the blog: strategies for organizations in the financial sector & other highly regulated industries thinking about risk associated with AI. Dana walks through how to integrate AI slowly and intentionally for maximum impact in risk-averse fields. Check it out: element84.com/machine-lear...

De-Risking AI: A Roadmap for AI Integration in Finance and Other Highly Regulated Industries • Element 84

For businesses operating in highly regulated industries, zero risk tolerance policies often lead to delays in AI adoption. Although there are certainly risks

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Last week, Adeel & Jason represented E84 at the 2nd ESA-NASA Workshop on AI Foundation Model for Earth Observation. It was great to share the latest updates from our work on Queryable Earth, and we always appreciate discussing new ways that the project can be implemented.

One #NationalAdaptationForum2026 takeaway: preparing & being proactive is easier & cheaper than responding once a crisis has occurred. Gaining insights from organizations directly interfacing w/ communities on the ground helps us build tools that solve real world problems.

Only a few days left before the AWRA 2026 #GeospatialWaterTechnologyConference, and we're all ready to go! If you'll also be in Niagara Falls, NY next week, be sure to say hi to Terence to learn about the latest at E84.

We're gearing up for a big week in Colorado at #GEOINT2026! At GEOINT this year we're excited to connect with partners, learn from others, and share more about our work with #KSAT. If you'll be there too, keep an eye out for our team -- they'd love to connect!

And just like that, @fedgeoday.bsky.social 2026 is a wrap! We're a little biased, but Jason Gilman's lightning talk, Agentic Context Engineering with Large Federal Datasets, was definitely a highlight for us. It's no small feat to work with enormous federal datasets to begin with... (1/3)

It's almost time for @fedgeoday.bsky.social! Jason Gilman will be presenting his lightning talk: Agentic Context Engineering with Large Federal Datasets and we're looking forward to connecting with folks across disciplines who are tackling similar problems in their work.

This week we attended our first #GoodTechSummit, and it was an awesome opportunity to connect with other mission-oriented organizations! 🌐🌟 During sessions we were excited to hear people looking to open source and data standards to solve complex challenges in their work.

Our latest blog details our work helping NASA build and scale a chat-based AI tool called ChatGSFC. In the blog, we discuss how ChatGSFC is made up of composable parts that function as building blocks for users to control and assemble to fit their needs. Full blog: element84.com/machine-lear...

ChatGSFC: Building Composable AI Tools for NASA on Open Source Tooling • Element 84

Sharing our findings from the past year helping NASA build and scale a chat-based AI tool called ChatGSFC.

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It's Friday and our latest quarterly newsletter is out in the world!! 📬 We share more about: 🌎 Updates to our Queryable Earth demos 🔮 The future of agentic AI & the open source ecosystem 🗓️ Our Spring conference calendar! 🤝 Open roles on our team mailchi.mp/a0adddbe56e2...

As geospatial data becomes increasingly accessible, how can we also make it trivial to query & analyze the same data using modern LLMs? In this blog, Adeel Hassan details our ongoing open-source work to answer this question as part of a NOAA-funded study: element84.com/machine-lear...

Building Conversational Interfaces for Querying and Analyzing Geospatial Data • Element 84

We present highlights from our ongoing open-source work aimed at building conversational interfaces to query and analyze NOAA data using LLMs.

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In our latest blog post we kick off a technical deep-dive into Queryable Earth. 🔍 🌎 We discuss our process captioning Queryable Earth tiles, validating our results, and comparing the embeddings generated by SkyCLIP, Claude Haiku, & Claude Opus. Check out the full blog: element84.com/machine-lear...

Building and Validating LLM-Generated Captions and Embeddings for Geospatial Imagery in Queryable Earth • Element 84

We detail how we caption Queryable Earth tiles. We also share the tools we use for validating our results and comparing the generated embeddings.

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It's always the highlight of our week when we see a creative new way our work is being used in the wild! Biologist Stephen Klosterman developed an experimental forecast of flower blooms in California's Antelope Valley using Sentinel-2 satellite imagery from Earthsearch. 🪻🌷

It's time for (Re)Making Cirrus: Part 2!! Jarrett Keifer is back on the blog picking up where he left off in the last installment of this retrospective discussion about Cirrus, the data orchestration framework we develop and use here at E84. Check it out: element84.com/data-science...

(Re)Making Cirrus: Three lessons learned • Element 84

Reflecting on the Cirrus story, three core lessons emerged that seem worth discussion, lessons that apply to software projects generally.

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Our Director of AI Applications, Jason Gilman, just returned from the 1st Geospatial Vector Embeddings Standards Sprint! Attendees worked to define common standards, best practices, and documentation for geospatial vector embeddings. His takeaways: www.linkedin.com/pulse/takeaw...

Takeaways from the First Geospatial Vector Embeddings Standards Sprint

Earlier this week, I participated in an amazing sprint to define common standards, best practices, and documentation for geospatial vector embeddings. I have some initial takeaways to share.

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"If we want AI to act in the physical world at scale, we don’t need the standard that models every possible sensor state. We need the one that everyone actually agrees to use." @geoskeptic.bsky.social shares about the importance of satellite tasking in the age of AI: element84.com/software-eng...

If AI Is Going to Task Satellites, We Need Standards • Element 84

In order for AI to task satellites and act in the physical world at scale, the community must to settle on an agreed upon standard.

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Cirrus = the data orchestration framework we develop and use at E84, and, despite being a critical component of our infrastructure, we haven’t discussed it much publicly. We take a retrospective look at the framework's history and look towards the future: element84.com/software-eng...

(Re)Making Cirrus: Reflections on five years spent building an open-source data orchestrator • Element 84

A retrospective look at the history of Cirrus, a data orchestration framework we develop and use at E84, and where we plan to go from here.

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