Ecopia AI

It’s that time of year again! We’re headed to the 2026 Esri User Conference from July 13-17. Here's how to find us:

📍 Stop by Booth A13 in the expo hall

👷 Join the AEC Special Interest Group (SIG) meeting

🗣️ Attend our session: "Wildfire Readiness in the Age of GeoAI: Preparedness, Mitigation, & Recovery,” featuring CAL FIRE

📅 Want to connect one-on-one? Set up a meeting with our team: https://hubs.ly/Q04j4fqL0

See you in San Diego! 👋

We're headed to Niagara Falls for the American Water Resources Association 2026 Geospatial Water Technology Conference! 💧

As flooding becomes one of the defining infrastructure challenges of our time, the need for high-resolution, accurate geospatial data has never been more urgent.

Stop by our booth and be sure to join us for our presentation, where we'll be showcasing:

✅ How Ecopia's scalable 6-inch nationwide land cover data was used to build an integrated flood model (IFM) for a major urban area by incorporating impervious surfaces, vegetation, and water bodies to improve water infrastructure planning and climate resilience.

✅ How Texas leveraged Ecopia's statewide 3D road network to refine flood inundation maps - delivering more accurate predictions for emergency response and infrastructure decision-making.

🗣️ Data-Driven Flood Risk Assessment and Infrastructure Impacts
⏰ Monday, May 18th from 10:30 AM – 12:00 PM EDT

Learn more here: https://hubs.ly/Q04gFkfT0

We’re excited to announce that Ecopia has provided the State of Connecticut with high-precision land cover and transportation mapping data 🌐

Extracted from aerial imagery across all 5,543 square miles of Connecticut, this dataset delivers 28 vector layers representing both the natural and built environments, including:

🌊 Impervious surfaces for stormwater management & flood modeling
🏘️ Building footprints for emergency response & property analytics
🚴‍♂️ Width-attributed sidewalks, bike lanes, & crosswalks for active transportation planning
🛣️ Road lanes & intersections for traffic planning workflows

Traditional mapping methods often require extensive manual digitization that can take months - or even years - to complete at statewide scales. Ecopia’s AI-based mapping systems streamline this process, creating standardized, high-accuracy datasets in a fraction of the time while helping agencies keep pace with real-world change.

With more than a decade of experience supporting government agencies at scale, Ecopia is proud to empower public sector organizations with a reliable digital representation of the physical world.

Read the full announcement 👇
https://hubs.ly/Q04gBp050

High-quality geospatial data isn’t just nice to have. It’s the foundation for accurate decisions.

When your data truly reflects the real world, teams can:
✔️ Create reliable map visualizations
✔️ Run accurate models
✔️ Make confident, data-driven decisions

On the other hand, poor data quality quickly leads to:
❌ Inaccurate maps
❌ Faulty modeling outputs
❌ Costly delays and rework
❌ Compliance risks

So how do you actually measure and improve geospatial data quality?

Our latest blog breaks down the 4 Cs of geospatial data quality, along with key metrics like accuracy, precision, recall, and F1-score - giving you a practical framework to evaluate and trust your data.

📖 Read the full blog to improve your data reliability for GIS, CAD, and analytics workflows 👇
https://hubs.ly/Q04dRgG00

From megacities to rural towns, India’s landscape is transforming dynamically to meet the needs of its growing population. However, high-quality geospatial data is often concentrated in the world's major cities, leaving vast regions as data deserts with limited and outdated coverage.

These gaps are driven by high production costs, resource constraints, and manual mapping workflows that simply don’t scale.

Thanks to Ecopia and Vantor's AI-driven partnership, what once took years of manual digitization can now be delivered in record times, creating a consistent spatial foundation that scales anywhere on Earth. 🌍

In just 3 months, Ecopia and Vantor produced over 300 million building and road features across 3 million square kilometers of India, roughly 3% of the Earth’s habitable landmass - saving years of manual mapping efforts and providing critical insight that keeps pace with a rapidly evolving region.

Learn more about this unprecedented dataset: https://hubs.ly/Q04dBhFk0

Want a closer look at Ecopia’s new online data portal?

Join our biweekly Product Office Hours series for live demos, feature updates, and direct access to our product team.

Ask questions, see what’s new, and discover how to get the most out of Ecopia's AI-powered data: https://hubs.ly/Q04dfBcs0

We're headed to Omaha for the ITS Heartland Annual Conference! 🚗🛣️🚌🛤️

Meet up with our team to see how Ecopia's AI map engine and online data portal are empowering organizations across North America with the insights needed to make transportation systems safer, more innovative, and more efficient.

Learn more here: https://hubs.ly/Q04dpz6k0

Intelligent Transportation Society of America

🚨 Last chance to register! 🚨

Faster timelines. Greater consistency. Scalable data.

That’s the impact AI-generated mapping is having on civil engineering workflows.

With real-world examples from Kimley-Horn, Black & Veatch, and Alta Planning + Design, our webinar with the American Society of Civil Engineers will explore how AI-generated mapping data is transforming workflows across hydraulic modeling, stormwater management, and transportation planning.

👉 Register here: https://hubs.ly/Q04cMQPH0