Digitizing the world using AI

Ecopia® is using AI to build a digital twin of the world, converting high-resolution geospatial imagery into comprehensive, accurate, and up-to-date vector maps for use in data-driven decision-making across industries.

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Digital Twin

Ecopia Launches Self-Serve Platform for High-Precision Geospatial Data Downloads

What we do

We leverage AI to digitize geospatial imagery, rapidly generating high-definition vector maps at scale with the accuracy of a trained GIS professional.

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Accurate

Our AI-based mapping systems extract high definition vector data with the accuracy of a trained GIS professional, providing a reliable source of truth for geospatial decision-making at scale.

Scalable

We produce millions of square kilometers of vector data per month with unmatched speed and scalability across all terrains to deliver detailed and complete insight about the real world.

Up-to-date

Our global partner network provides access to the latest geospatial imagery, which is then rapidly mined using our AI-based systems to create and maintain a current representation of reality.

Industries

Ecopia transforms mapping and analytics workflows across industries

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Civil Engineering

Transform client engagements with high-precision land cover and transportation asset map features.

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Municipal & State Government

Improve transportation networks, public safety, and stormwater planning throughout your community with a digital representation of infrastructure and land use.

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Federal Government

Develop strategic plans for nationwide initiatives in climate resilience, emergency preparedness, and rural broadband access with detailed mapping data.

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Insurance

Accurately assess property risk, inform underwriting, and better manage claims with building-based geocodes and high-precision property intelligence.

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Telecommunications

Enhance network planning workflows and increase access with a complete view of existing infrastructure and serviceable locations.

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Non-Governmental Organizations (NGOs)

Use AI for good to inform field planning for humanitarian aid and land management projects with an up-to-date view of detailed land cover.

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