As organizations apply AI to real-world operations—from weather forecasting and infrastructure resilience to supply chains and environmental monitoring—geospatial data is becoming a critical enterprise input. GeoAI, or geospatial AI, applies deep learning, computer vision, and generative AI to geospatial data to help organizations understand and respond to physical-world change. Planetary Computer Pro gives organizations a foundation for production geospatial data and AI workflows at enterprise scale.
But turning geospatial data into operational insight is still hard. Data is often large, fragmented, and spread across imagery, SAR, weather, video, LiDAR, and vector sources. Traditional GIS workflows also remain separate from modern data and AI platforms, making it difficult to bring geospatial intelligence into day-to-day enterprise operations.
Today, we are announcing the general availability of Microsoft Planetary Computer Pro, Microsoft’s enterprise geospatial data platform for AI. Built natively on Azure and integrated with Microsoft Fabric and Microsoft Foundry, it helps organizations manage geospatial data as a reusable enterprise asset that can power analytics, applications, and operational workflows.
What’s new in GA
General availability brings reliability, interoperability, and developer capabilities organizations need to operationalize geospatial analytics and AI in production environments.
Enterprise-grade reliability and governance
Planetary Computer Pro adds enterprise-grade reliability and governance capabilities for production geospatial workloads. Standardized metadata, lineage tracking, and repeatable delivery workflows provide a governed foundation for geospatial data management at scale.
Expanded support for modern geospatial formats
Planetary Computer Pro now supports cloud-native raster formats such as Zarr, NetCDF, and GRIB2, as well as vector data formats (preview) including Shapefile, GeoJSON, and GeoParquet. A new Vector Tile API (preview) enables high-performance geospatial visualization and interactive applications.
AI-native developer workflows
New Model Context Protocol (MCP) server capabilities enable AI agents and copilots to interact with Planetary Computer Pro through natural-language workflows—helping developers streamline geospatial tasks and support geospatial AI application development.
Deeper integration across the Microsoft data and AI ecosystem
Planetary Computer Pro integrates more deeply with Microsoft Fabric and Microsoft Foundry, helping organizations bring geospatial intelligence into enterprise analytics and AI workflows. In Fabric Maps, customers can overlay and visualize geospatial layers from Planetary Computer Pro.
Figure 1: Maps in Fabric connected to Microsoft Planetary Computer Pro
Expanded commercial and premium data ecosystem
Organizations can now acquire archive imagery and streamline access to commercial imagery through SkyWatch, and have it delivered into Planetary Computer Pro to simplify downstream analysis workflows. Geospatial data providers can also distribute datasets through the platform—for example, Microsoft AI weather datasets can now be accessed through Planetary Computer Pro for use in analytics and AI workflows.
Together, these capabilities help organizations move from isolated geospatial projects to scalable, governed production systems—with tighter integration between geospatial data, enterprise analytics, and AI workflows.
Built for enterprise geospatial analytics and AI
Geospatial AI applies deep learning, computer vision, and generative AI to geospatial data to help organizations understand and respond to physical-world change. From weather forecasting and infrastructure resilience to environmental monitoring and supply chain intelligence, organizations are increasingly using geospatial AI to support operational decision-making.
Many organizations already have access to powerful geospatial AI models. The harder task is operationalizing the data around them—ingesting datasets, preprocessing at scale, maintaining governance, and delivering outputs into downstream systems.
Planetary Computer Pro provides a unified geospatial data foundation for end-to-end geospatial AI workflows. Organizations can manage geospatial data with consistent access, metadata, governance, and repeatable delivery pipelines across teams and systems.
Integrated with Microsoft Fabric and Microsoft Foundry, Planetary Computer Pro helps organizations bring geospatial intelligence into analytics, applications, and AI workflows.
AI outputs stored in Planetary Computer Pro can be analyzed in Fabric, surfaced in dashboards, or visualized in Fabric Maps to support operational decision-making.
For example, you can use weather data managed in Planetary Computer Pro together with Aurora, Microsoft Research AI for Science’s foundation model of the Earth’s atmosphere, to generate hurricane forecasts, assess potential impacts on utility infrastructure, and support resiliency planning workflows.
Customer and partner momentum
Organizations across energy, climate resilience, agriculture, and supply chain optimization are using Planetary Computer Pro to bring geospatial intelligence into operations while reducing manual data engineering and supporting geospatial AI at enterprise scale.
Space Intelligence is using Microsoft Foundry and Planetary Computer Pro to produce audit-grade land-cover and carbon maps from petabyte-scale satellite data. By moving beyond desktop-based geospatial workflows, the company has improved mapping speed and scalability, helping organizations access environmental intelligence across countries and regions.
“With Microsoft Foundry and Planetary Computer Pro we’ve increased data production by 100 times, and our time for mapping has gone from six months to six weeks—a 75% reduction.” - Stephanie Earp, Head of AI, Space Intelligence
BKW is using Planetary Computer Pro together with Microsoft AI weather datasets and the Aurora weather model to strengthen energy forecasting and infrastructure planning workflows. By integrating weather data into AI-driven operational systems, BKW can better assess infrastructure risk, improve resiliency planning, and support energy trading decisions.
“This collaboration demonstrates how advanced AI capabilities and robust cloud infrastructure can be applied to one of the most strategic domains—energy, where weather plays a fundamental role. In a time of accelerated transformation, it supports our ambition to operate increasingly renewable-based systems, where generation is inherently weather-dependent, and to better anticipate and manage this variability with greater confidence and precision.” - Yamshid Farhat, Lead AI & Technology, BKW
EY and Xoople are building a supply chain intelligence solution that brings satellite‑derived signals into demand forecasting, inventory optimization, and production planning. Using Planetary Computer Pro, Microsoft Fabric, and Microsoft Foundry, the solution connects earth observation data to enterprise supply chain workflows, helping organizations move from physical-world signals to operational decisions.
“Supply chain planning has traditionally operated with limited visibility into real-world conditions. By combining EY’s supply chain expertise, Xoople’s geospatial intelligence, and Microsoft technologies including Planetary Computer Pro, Microsoft Fabric, and Microsoft Foundry, we are helping clients bring physical-world signals directly into enterprise planning workflows and make faster, more informed operational decisions.” - Dany Bou Laba Bassil, EY AI & Data Supply Chain Leader
EY - UK has built an AI‑driven environmental platform powered by Planetary Computer Pro, Space Intelligence and EY accelerators to operationalize regenerative agriculture and identify supply chain risks such as deforestation and water scarcity—improving ROI, auditability, and climate‑risk mitigation.
“We’re excited by the launch of Microsoft Planetary Computer Pro as it helps bring geospatial intelligence into the heart of enterprise decision-making. By combining Earth observation data, AI and business context on a trusted platform, organizations can move faster from fragmented environmental signals to actionable insight—whether that’s managing nature-related risk, improving resilience or supporting more sustainable operations” - Adam Hughes, EY Technology Leader, UK Government & Public Sector, and Microsoft Consulting Leader
Ecosystem Momentum
We are also expanding the Planetary Computer ecosystem with new partners and integrations.
Customers can now discover and task the latest earth observation data through the SkyWatch Platform and deliver it into Planetary Computer Pro. This simplifies downstream analysis by reducing the need to ingest, index, and catalog individual data purchases.
"Our enterprise customers tell us the hardest part of working with commercial imagery isn't the data, it's getting it into the systems where their analysts and models live. This integration [with Microsoft Planetary Computer Pro] closes that gap for organizations that are standardizing their geospatial data workflows on Microsoft technology." - David Proulx, Chief Product Officer, SkyWatch
Microsoft Planetary Computer Pro now brings NVIDIA AI weather models into enterprise geospatial AI workflows through integration with Microsoft Foundry. Powered by NVIDIA Earth-2 technologies, these capabilities enable customers to combine governed geospatial and atmospheric data for forecasting, scenario planning, and operational risk analysis.
“Making NVIDIA AI weather models available alongside Microsoft Planetary Computer Pro and Microsoft Foundry helps organizations operationalize advanced weather and geospatial intelligence in enterprise workflows. Built on NVIDIA Earth-2 technologies, these capabilities can accelerate forecasting, scenario analysis, and risk-aware decision-making.” - Mike Pritchard, Director of Climate Simulation Research at NVIDIA
Get started with Planetary Computer Pro
Planetary Computer Pro helps organizations turn geospatial data into analytics, AI, and operational workflows at enterprise scale.
Deploy Planetary Computer Pro. Provision your geospatial data environment on Azure and start building governed, scalable data pipelines.
Explore the Planetary Explorer Solution Accelerator. See how generative AI can simplify geospatial workflows with a solution built on Microsoft Foundry that enables natural-language exploration of Earth science data.
Resources
- Learn more about Microsoft Planetary Computer Pro | Microsoft Azure
- Read the documentation at Microsoft Planetary Computer Pro | Microsoft Learn
- Explore MCP tools for developer workflows at Microsoft Planetary Computer Pro MCP Tools - Visual Studio Marketplace
- Learn how to integrate Microsoft Fabric Maps at Add a WMS or WMTS imagery layer to a map - Microsoft Fabric | Microsoft Learn
- Unified AI Weather Forecasting Pipeline through Aurora, Microsoft Foundry, and Microsoft Planetary Computer Pro | Microsoft Community Hub
- Foundry Labs @ Build 2026