Geospatial analytics powered by AI is reshaping how businesses understand and act on location-based data. From urban planning to logistics and environmental monitoring, AI-driven geospatial solutions are delivering deeper insights with greater speed and accuracy. In this article, we highlight the top companies leading the way in this rapidly evolving space.
1. FlyPix AI
At FlyPix AI, we specialize in geospatial intelligence, using advanced artificial intelligence to analyze aerial imagery and provide precise, real-time insights. Our technology helps businesses and organizations across industries, including energy, construction, and agriculture, monitor critical infrastructure and detect key assets with accuracy. By leveraging deep learning algorithms, we transform raw geospatial data into actionable information, enabling more informed decision-making and efficient resource management.
Our platform is designed to be intuitive and user-friendly, making complex geospatial data accessible to both technical experts and decision-makers. We prioritize seamless integration with existing Geographic Information Systems (GIS) and ensure that our data processing tools are efficient and reliable. Security is also a key focus, as we employ robust measures to protect sensitive geospatial information while maintaining high-performance analysis capabilities.
In the energy sector, we provide solutions for monitoring power lines, solar farms, and wind turbines by detecting potential issues before they become costly problems. Our AI-powered object detection and tracking tools allow for proactive maintenance, helping companies improve operational efficiency and extend the lifespan of critical assets. By combining AI-driven insights with high-resolution imagery, we deliver the tools needed for smarter and more sustainable energy management.
Key Highlights:
- AI-driven geospatial analysis with deep learning for object detection and tracking
- Seamless integration with existing GIS systems
- User-friendly interface for easy access to geospatial insights
Services:
- AI-powered power line monitoring to detect faults and risks
- Renewable energy asset tracking for solar panels and wind turbines
- Custom AI model training without the need for programming skills
Contact and Social Media Information:
- Website: flypix.ai
- Email: info@flypix.ai
- LinkedIn: www.linkedin.com/company/flypix-ai
- Address: Robert-Bosch-Str. 7, 64293 Darmstadt, Germany
- Phone: +49 6151 2776497
2. SuperMap
SuperMap provides a set of technologies that integrate artificial intelligence (AI) and geographic information systems (GIS), collectively referred to as AI GIS. This approach incorporates AI-driven spatial analysis and visualization processes into traditional GIS workflows. The platform includes tools for AI-enhanced image interpretation, object detection, and classification across different devices including servers, desktops, and mobile terminals.
Its features also extend to AI-supported GIS software functions, model training tools, and geospatial data sampling methods. The integration includes deep learning models for various types of image analysis such as target detection, binary classification, scene classification, and change detection. These models are supported by a structured workflow for training, evaluation, and application stages.
Key Highlights:
- Provides GeoAI, AI for GIS, and GIS for AI integrations
- Supports image and video AI interpretation across devices
- Includes geospatial machine learning capabilities for clustering, classification, and regression
- Offers geospatial sampling methods including stratified and random sampling
- Implements deep learning models such as Faster R-CNN, DeepLabv3+, U-Net, and SFNet
Services:
- AI-enhanced GIS software features
- Remote sensing image interpretation
- AI model training and deployment
- Spatial analysis and visualization
- Geospatial statistical inference and machine learning
Contact Information:
- Website: www.supermap.com
- Email: zhangyuanyuan@supermap.com
- Phone: +86-10-5989 6503
- Address: SuperMap Software Co., Ltd.6/F, Building 107, No. A10, Jiuxianqiao North Road, Chaoyang District, Beijing, PR China, 100015
- Facebook: www.facebook.com/SuperMap
- Instagram: www.instagram.com/supermap_gis
- Linkedin: www.linkedin.com/company/supermap
- Twitter: x.com/SuperMap__GIS
3. Galigeo
Galigeo delivers location intelligence and geomarketing solutions focused on spatial analytics and predictive modeling. Its offerings include tools for location-based analysis integrated with enterprise software platforms such as Microsoft Power BI, SAP BI, IBM Cognos, and Salesforce. The technology enables users to visualize and analyze geographic data directly within these systems.
The platform supports use cases across sales territory planning, local communications, and point-of-sale optimization. Galigeo also provides specialized tools for public sector and law enforcement agencies, insurance providers, retail and healthcare sectors, among others. Solutions can be accessed through mobile and desktop environments and support data privacy compliance.
Key Highlights:
- Offers location intelligence tools integrated with enterprise software
- Supports predictive geomarketing and POS network management
- Used by public sector entities and private sector companies across industries
- Provides mobile-ready map displays and spatial decision tools
- Complies with data privacy standards by retaining data within the client’s environment
Services:
- Location analytics platform
- Sales territory and route planning
- Predictive modeling for POS networks
- CRM-integrated mapping for field sales
- Sector-specific geospatial solutions
Contact Information:
- Website: www.galigeo.com
- Phone: +33 (0) 1 44 06 79 44
- Address: 87 Avenue d’Italie 75013 Paris, France
- Linkedin: www.linkedin.com/company/galigeo
- Twitter: x.com/galigeo
4. Esri
Esri develops ArcGIS, a suite of geographic information system (GIS) software used for mapping, spatial analysis, and geospatial data management. The company integrates artificial intelligence into its geospatial platform to support automation, prediction, and optimization. Esri’s technology is applied in various sectors, including public safety, energy, infrastructure, and environmental monitoring.
ArcGIS is offered as a scalable software-as-a-service (SaaS) platform, and it is also integrated into third-party systems through partnerships, including collaborations with Microsoft and Autodesk. Esri publishes content such as blogs, podcasts, and case studies that document how organizations use its tools for operational and strategic decisions. Educational offerings include online courses focused on building location-based applications.
Key Highlights:
- Developer of ArcGIS software for mapping and spatial analytics
- Integrates AI into GIS workflows for predictive and operational use
- Offers SaaS and enterprise GIS platforms
- Provides learning content, including MOOCs and technical articles
- Collaborates with Microsoft and Autodesk for spatial data integration
Services:
- GIS software development and licensing
- AI-enhanced geospatial analysis tools
- SaaS-based spatial data platforms
- Online training and educational resources
- Support for spatial data integration with third-party software
Contact Information:
- Website: www.gisforscience.com
- Phone: +1-909-793-2853
- Address: 380 New York Street Redlands, California United States of America
- Facebook: www.facebook.com/esrigis
- Instagram: www.instagram.com/esrigram
- Linkedin: www.linkedin.com/company/esri
- Twitter: x.com/Esri
5. Geospatial Analytics, Inc.
Geospatial Analytics, Inc. provides software and platform solutions designed for real estate decision-making and spatial data analysis. The company focuses on helping clients manage processes such as asset inspection, transaction tracking, and compliance using real-time data integration and predictive analytics. Its offerings are structured to support business outcomes by enhancing awareness of operational performance and resource distribution.
The company offers an end-to-end analytics platform that aggregates spatial and non-spatial data and provides users with tools for portfolio management, monitoring, and decision support. It also supplies mobile-ready technologies and interactive dashboards. Services include data collection management, visual analytics, and tools for service management and safety monitoring.
Key Highlights:
- Provides a decision intelligence platform for real estate applications
- Supports predictive and spatial analytics for process optimization
- Integrates real-time data aggregation and interactive monitoring
- Offers case studies and solutions tailored to asset and transaction management
- Includes mobile technology and process visualization features
Services:
- Predictive analytics
- Real-time data aggregation
- Data collection and management tools
- Asset and transaction monitoring
- Safety and compliance management
- Visual process and portfolio analytics
Contact Information:
- Website: www.geospatialanalytics.com
- Email: info@geospatialanalytics.com
- Phone: 877-291-3282
- Address: 4741 Central St, Suite 2000 Kansas City, MO 64112
- Facebook: www.facebook.com/people/Geospatial-Analytics
- Linkedin: www.linkedin.com/company/geospatial-analytics
- Twitter: x.com/MyGeospatial
6. Earth-i Ltd.
Earth-i Ltd. specializes in Earth Observation (EO) data analytics, offering services that help clients make decisions using geospatial insight. The company focuses on simplifying access to satellite data and reducing barriers to adoption by providing structured services such as consultancy, custom projects, data supply, and packaged insights. Earth-i works with various partners across the space and technology sectors.
The company delivers a service called SAVANT, which tracks global smelting activity for metals. It also engages in research and development in collaboration with institutional and industry partners. Additional offerings include training, flexible data sourcing, and tailored analytics projects. Earth-i serves clients across sectors including agriculture, infrastructure, and supply chain monitoring.
Key Highlights:
- Provides Earth Observation analytics services
- Offers structured consultancy and training
- Operates SAVANT, a monitoring tool for metals smelting activity
- Partners with space and data providers including NASA and Planet Labs
- Participates in R&D with organizations such as Innovate UK and EARSC
Services:
- Earth Observation consultancy
- Data sourcing and supply across multiple satellite providers
- Custom analytics and monitoring solutions
- Training and capability development
- Insight delivery via the SAVANT platform
Contact Information:
- Website: earthi.space
- Email: info@earthi.co.uk
- Phone: +44 (0)333 433 0015
- Address: 40 Occam Road Surrey Research Park Guildford Surrey, GU2 7YG United Kingdom
- Linkedin: www.linkedin.com/company/earth-i
- Twitter: x.com/earthi_
7. Picterra
Picterra provides a geospatial AI platform that allows users to build, train, and deploy custom machine learning models for object detection, change detection, and pattern recognition using satellite, drone, or aerial imagery. The platform is designed to be used for compliance, monitoring, and verification purposes across industries such as mining, agriculture, and fast-moving consumer goods. It enables users to build scalable AI models in a short amount of time, with tools that support integration, collaboration, and automation.
The company also offers a modular product, Picterra Tracer, which supports tasks such as validating land plots, verifying carbon credits, and streamlining environmental compliance workflows including EUDR regulations. Picterra’s platform is used by enterprises and institutions that require geospatial analysis for operational oversight, risk assessment, and regulatory compliance.
Key Highlights:
- Enables custom AI model creation for geospatial imagery analysis
- Provides object, change, and pattern detection using satellite and drone imagery
- Offers Picterra Tracer for land validation and regulatory compliance
- Supports applications in mining, agriculture, and environmental monitoring
- Designed for scalability and integration through API-ready tools
Services:
- Geospatial AI model training and deployment
- Image-based object and change detection
- EUDR compliance assessment
- Carbon credit verification
- Platform access via API and user interface
Contact Information:
- Website: picterra.ch
- Linkedin: www.linkedin.com/company/picterra
8. CARTO
CARTO provides a cloud-native platform for spatial analytics, data visualization, and geospatial application development. The platform connects directly to major cloud data warehouses such as BigQuery, Snowflake, Redshift, Azure, and Databricks, eliminating the need for traditional data transfer or ETL processes. Users can perform spatial analysis through a visual workflow builder and access over 100 prebuilt analysis components.
The platform includes tools for building interactive maps, sharing spatial dashboards, and developing custom geospatial applications using web technologies. CARTO also features GenAI integrations that allow users to generate insights through prompts and automate analysis tasks. Its Data Observatory offers access to thousands of curated global datasets for geospatial enrichment.
Key Highlights:
- Spatial analytics platform integrated with major cloud data warehouses
- Supports drag-and-drop visual workflows and GenAI functionality
- Offers scalable mapping tools without intermediate mapping servers
- Enables app development using APIs and frameworks such as React and Angular
- Includes Data Observatory with access to over 12,000 datasets
Services:
- Cloud-native spatial analytics
- Geospatial data visualization
- Application development tools and APIs
- Location data enrichment
- AI-enhanced spatial insights
Contact Information:
- Website: carto.com
- Facebook: www.facebook.com/CartoDB
- Linkedin: www.linkedin.com/company/carto
- Twitter: x.com/CARTO
9. BCG X
BCG X, the technology build unit of Boston Consulting Group, collaborated with Airbus to create UP42, an open platform that supports machine learning and AI-driven geospatial data analysis. The initiative aimed to enable scalable access to satellite and drone imagery, IoT data, and geospatial processing algorithms via self-service APIs. The platform is structured as a marketplace where developers can use predefined data and algorithms for geospatial projects.
UP42 combines over 55 data blocks and more than 75 algorithms for spatial analysis, with users ranging from startups to corporate analytics departments. The platform supports scalable project development by providing tools to build, run, and deploy geospatial workflows. UP42 focuses on automation, cloud-based data access, and decentralized solution building for location-based analytics.
Key Highlights:
- Developed in partnership with Airbus and BCG X
- Provides a marketplace for geospatial data and AI/ML algorithms
- Features 55+ data blocks and 75+ processing algorithms
- Supports self-service API access for developers and data scientists
- Built for scalable project execution in the cloud
Services:
- Geospatial data access through open APIs
- Satellite and drone imagery integration
- AI and machine learning algorithm deployment
- Workflow creation for spatial analysis
- Cloud-based project execution and automation
Contact Information:
- Website: www.bcg.com
- Facebook: www.facebook.com/BostonConsultingGroup
- Instagram: www.instagram.com/bcg
- Linkedin: www.linkedin.com/company/boston-consulting-group
- Twitter: x.com/BCG
10. Appinventiv
Appinventiv explores the integration of geospatial data with artificial intelligence through its content and services related to AI development. According to the company’s published blog, geospatial AI refers to using AI techniques in conjunction with location-based datasets to automate the extraction of patterns, detect changes, and predict outcomes in spatial contexts. The company highlights use cases where combining AI and geospatial technologies helps improve infrastructure monitoring, disaster response, urban planning, and environmental assessments.
Appinventiv emphasizes AI-based application development for geospatial analysis by leveraging machine learning models trained on spatial datasets. The blog discusses various methods, including computer vision applied to satellite imagery, spatial clustering, and predictive modeling. While the post serves primarily as an informational guide, it reflects the company’s broader focus on digital solutions that involve AI, machine learning, and cloud technologies.
Key Highlights:
- Publishes content focused on AI integration with geospatial data
- Explains methods for using computer vision and machine learning with spatial
- datasets
- Highlights applications of geospatial AI in multiple sectors
- Discusses spatial clustering and predictive modeling for environmental and
- infrastructure use cases
Services:
- AI-based application development
- Machine learning integration with geospatial datasets
- Custom software for spatial data analysis
- Content and research related to geospatial AI use cases
Contact Information:
- Website: appinventiv.com
- Phone: +91 844 818 2018
- Address: B-25, Sector 58, Noida 201301, UP, India + 91 – 844 – 818 – 2018
- Instagram: www.instagram.com/appinventiv
- Linkedin: www.linkedin.com/company/appinventiv
- Twitter: x.com/appinventiv
11. EOS Data Analytics
EOS Data Analytics (EOSDA) provides satellite-based data analytics tools with a focus on agriculture and forestry. Its product suite includes EOSDA Crop Monitoring, a digital platform that offers real-time crop health tracking, weather forecasting, field activity planning, and vegetation index analysis using satellite imagery. Additional tools include EOSDA LandViewer, a platform for accessing and processing high-resolution satellite images, and EOSDA Forest Monitoring for environmental observation.
The company offers solutions tailored for various sectors such as insurance, telecom, financial institutions, NGOs, and food production. Features include crop classification, yield prediction, field boundary detection, and advanced soil and carbon modeling. EOSDA combines satellite data with artificial intelligence to support decision-making processes, aiming to improve operational efficiency and environmental sustainability.
Key Highlights:
- Offers digital tools for satellite-based agricultural and forestry analytics
- Provides real-time monitoring and AI-driven predictive features
- Supports multi-industry use including finance, insurance, and agribusiness
- Access to high-resolution satellite imagery and customizable geospatial data products
- Enables crop classification, yield monitoring, and soil analytics
Services:
- Satellite imagery-based crop and forest monitoring
- AI-powered yield prediction and carbon modeling
- Soil moisture and organic carbon analysis
- Field boundary and land plot detection
- Custom geospatial data projects and API access
Contact Information:
- Website: eos.com
- Facebook: www.facebook.com/eosda
- Instagram: www.instagram.com/eosdataanalytics
- Linkedin: www.linkedin.com/company/eos-data-analytics
- Twitter: x.com/eos_da
12. GRASS GIS
GRASS GIS is a free and open-source software platform focused on raster, vector, and geospatial data processing. Developed under the Open Source Geospatial Foundation, the software provides computational tools for terrain modeling, hydrological analysis, ecosystem studies, imagery processing, and geospatial data management. GRASS GIS also includes a built-in temporal framework and a Python API to support time series analysis and custom geospatial programming.
The software is designed for scalability and flexibility, optimized to handle large datasets on a variety of hardware configurations. It is supported by a community-driven ecosystem that provides manuals, tutorials, and developer resources. Users can access GRASS GIS through downloadable distributions and engage with the community through forums, events, and collaborative development opportunities.
Key Highlights:
- Open-source geospatial processing software under OSGeo
- Supports raster, vector, and imagery data processing
- Includes temporal analysis and Python scripting support
- Optimized for large-scale geospatial modeling and analysis
- Community-driven with regular updates and user support channels
Services:
- Raster and vector geospatial processing
- Terrain and hydrological modeling
- Time series analysis via built-in temporal framework
- Custom geospatial programming with Python API
- Imagery analysis and spatial data management
Contact Information:
- Website: grass.osgeo.org
- Facebook: www.facebook.com/groups/GRASS
- Linkedin: www.linkedin.com/company/grass-gis
- Twitter: x.com/grassgis
Conclusion
As demand for real-time, location-based insights continues to grow, geospatial analytics powered by AI is proving to be a game-changer across industries. From improving disaster response and optimizing supply chains to enhancing environmental monitoring and urban planning, the capabilities of this technology are expanding rapidly.
With advancements in machine learning, satellite imaging, and data processing, geospatial analytics is becoming more accessible and scalable than ever before. As this field evolves, the companies at the forefront are not only setting new standards for data precision and speed but are also shaping how organizations make smarter, more informed decisions in a complex and connected world.