Seeing Earth, smarter.

RASID is an innovation-led technology and consultancy company turning complex data into decision-ready intelligence. We combine AI, data engineering, software development and geospatial technologies to build practical, production-ready solutions. Our work spans AI consultancy, bespoke R&D projects and data digital transformation, alongside our niche expertise in Earth Observation.

GoPilot is #1 GeoAgent by RASID. Users describe a geospatial question in natural language, and GoPilot finds relevant data, selects and runs the appropriate tools and AI models, and returns maps, raster and vector results.

GoPilot turns natural-language questions into geospatial analysis workflows. It can discover Earth-observation data, perform geospatial operations, run AI models such as segmentation and object detection, analyse change over time, and return the results as maps and downloadable geospatial layers.

GoPilot first interprets a user request and plans the required workflow. It then retrieves relevant Earth-observation data, selects and runs appropriate geospatial tools and AI models, and returns the resulting layers, measurements and analysis.

GoPilot is designed to let users interact with geospatial data through natural language instead of manually performing the underlying GIS workflow. GIS professionals can also use GoPilot through existing tools such as QGIS and ArcGIS Pro.

GoPilot provides access to more than 10,000 datasets, including Sentinel-2 imagery, high-resolution optical imagery, digital elevation models, ERA5 climate reanalysis and foundation-model embeddings such as Clay and AlphaEarth. The available data depends on the analysis requested.

GoPilot provides access to more than 10,000 datasets through a single natural-language interface. These include satellite imagery, elevation data, climate data and other Earth-observation and geospatial datasets.

GoPilot can orchestrate hundreds of AI models and geospatial tools. Depending on the task, these include models and workflows for segmentation, object detection, change detection and other forms of Earth-observation analysis.

GoPilot can perform tasks including image segmentation, object detection, change detection, feature extraction, spatial analysis and Earth-observation data processing. The available workflows depend on the datasets and models relevant to the user’s request.

Yes. GoPilot can discover and analyse satellite imagery and other Earth-observation data, select appropriate analytical models and return the results as geospatial layers and measurements.

Yes. Sentinel-2 is one of the Earth-observation data sources available to GoPilot. It can be used for applications including environmental monitoring, land-cover analysis, change detection and other geospatial workflows.

Yes. RASID provides plugins for QGIS and ArcGIS Pro, allowing GIS professionals to use GoPilot and RASID’s geospatial models and workflows within the tools they already use.

Yes. RASID provides programmatic access to GoPilot capabilities through its MCP and API services, with direct access available according to the applicable plan. This allows organisations to integrate RASID’s geospatial capabilities into their own software and workflows.

Yes. GoPilot capabilities are exposed through the Model Context Protocol (MCP) using four GoServers: GoServer-Fetch for data access, GoServer-Geo for geospatial operations, GoServer-Analyze for raster and time-series analysis, and GoServer-AI for model inference.

GoServers are RASID’s MCP-based services for geospatial data and AI workflows. GoServer-Fetch handles data access, GoServer-Geo provides geospatial operations, GoServer-Analyze handles complex time-series data analysis and GoServer-AI provides model inference.

Yes. RASID exposes geospatial data, operations and AI inference through MCP-based GoServers and API services. This allows compatible AI agents and software applications to use RASID’s geospatial capabilities programmatically.

GoPilot has four plans: Free at €0 per month with 50,000 tokens, Pro at €149 per month with 500,000 tokens, Business at €499 per month with 2,500,000 tokens, and Enterprise with custom pricing. Enterprise also provides deployment options including cloud and on-premise environments.

GoPilot tokens represent usage capacity across RASID’s platform services. Tokens are shared across GoPilot, GoBox, and RASID’s MCP and API services, with the amount included depending on the subscription plan.

GoBox is RASID’s GIS-focused interface for working with geospatial data and AI capabilities. It is part of the RASID platform and shares usage capacity with GoPilot through the platform’s token system.

GoPilot is RASID’s commercial geospatial AI product for repeatable Earth-observation and geospatial workflows. RASID also delivers bespoke consultancy and R&D projects involving custom AI models, geospatial datasets, data pipelines and software for organisations with specific requirements.

RASID delivers bespoke geospatial consultancy and R&D projects in addition to GoPilot. Its work includes satellite image analysis, computer vision, environmental monitoring, agricultural intelligence, infrastructure mapping, transportation analysis and other Earth-observation applications.

RASID applies Earth Observation and GeoAI across agriculture, environmental monitoring, energy, infrastructure, transportation and urban analysis. The company develops both reusable platform capabilities and custom solutions for specific industry requirements.

GoPilot can support agricultural workflows including crop mapping, field delineation, tree detection and crop-condition analysis. These workflows use Earth-observation data and AI models to extract information at different geographic scales.

GoPilot can support environmental monitoring workflows including methane plume screening, deforestation monitoring, land-cover change analysis, and water and coastline change detection. Users can combine Earth-observation data with other geospatial datasets to investigate environmental conditions.

Yes. RASID has developed a methane-monitoring workflow combining GoPilot with a specialized methane detection model. The workflow uses satellite imagery to identify and investigate potential methane plumes and can be applied to oil and gas and other emission sources.

MethaneMapper is RASID’s specialized methane detection model for satellite imagery. It works alongside GoPilot, which provides the agentic layer for discovering data, orchestrating the workflow and contextualising the resulting methane detections.

GoPilot can interpret a methane-monitoring request, identify suitable satellite observations, select and execute the methane detection workflow, and return a mapped result. The result can then be investigated alongside other geospatial information such as infrastructure, land cover and historical observations.

GoPilot can extract and analyse infrastructure features from Earth-observation imagery, including buildings, roads, solar installations and other assets. RASID also develops bespoke infrastructure-mapping workflows for specific projects.

GoPilot supports transportation workflows including road and infrastructure mapping, satellite-video analysis and automated road-safety assessment. RASID also develops bespoke geospatial solutions for transportation and infrastructure projects.

Yes. GoPilot can compare Earth-observation imagery and run change-detection workflows to identify changes between observations. Change detection can be applied to applications such as environmental monitoring, infrastructure analysis and site investigation.

GoPilot can return maps, quantitative results and downloadable raster and vector layers. Supported outputs include formats such as GeoTIFF and GeoJSON, allowing results to be used in standard GIS workflows.

Yes. GoPilot can produce interoperable geospatial outputs including GeoJSON and GeoTIFF. These formats can be used in standard GIS and geospatial analysis workflows.

Yes. GoPilot is available at app.gopilot.earth and runs in production on AWS. RASID continues to develop and expand the platform’s datasets, models, integrations and analytical workflows.

GoPilot runs on cloud infrastructure powered by AWS. RASID uses AWS services for the platform’s AI, compute, storage and agent runtime infrastructure.

Yes. RASID’s production analyses use real Earth-observation imagery and geospatial datasets, including Sentinel-2. The outputs generated by production workflows are real raster and vector analysis results.

Some animated globe visuals and demo overlays on the RASID marketing site are procedurally generated for illustration. RASID’s production analyses use real Earth-observation imagery and return real geospatial outputs.

No. GoPilot is designed to make Earth-observation analysis accessible through natural language while also supporting professional GIS workflows. Specialists can use GoPilot through the web platform, QGIS, ArcGIS Pro, MCP and API integrations.

GoPilot is designed for professionals and organisations that need to work with Earth-observation and geospatial data. Potential users include GIS teams, researchers, environmental organisations, engineering companies, infrastructure organisations, energy companies and public-sector institutions.

RASID is based in Paris, France and Beirut, Lebanon, and works internationally with organisations across different geospatial application areas.

RASID won the AWS Generative AI Challenge in 2026. The recognition supported the development of GoPilot and its applications in agentic AI and Earth Observation.

RASID specializes in Earth Observation, remote sensing, GeoAI, computer vision, agentic AI, geospatial software engineering and cloud-based geospatial infrastructure. These capabilities are combined to build both reusable products and bespoke solutions.

GeoAI is the application of artificial intelligence to geospatial data and location-based problems. It combines technologies such as machine learning, computer vision and geospatial analysis to extract information and insights from satellite imagery and other spatial datasets.

GoPilot is specialized for geospatial analysis and connects AI reasoning directly to Earth-observation datasets, geospatial operations and AI models. Instead of only generating text, it can execute analytical workflows and return actual geospatial data products such as maps, raster layers and vector layers.

Traditional GIS workflows often require users to find data, configure tools, write scripts or manually connect multiple processing steps. GoPilot uses an AI agent to interpret the objective, select relevant data and tools, execute the workflow and return the resulting geospatial outputs.

Yes. GoPilot can orchestrate workflows involving multiple Earth-observation and geospatial datasets. This allows analyses to combine satellite imagery with information such as elevation, climate data, infrastructure and other spatial datasets when relevant to the task.

Yes. GoPilot can select and orchestrate different AI models and geospatial operations within a single workflow. This allows a question to be addressed through multiple analytical steps rather than relying on a single model.

Yes. RASID develops bespoke geospatial AI solutions for organisations with requirements that are not fully addressed by the standard GoPilot platform. These projects can include custom models, data pipelines, geospatial datasets, software and operational workflows.

Yes. RASID develops and integrates computer-vision and geospatial AI models for specific applications. Custom model development can be delivered as part of a bespoke R&D or consultancy project and can also contribute capabilities to the GoPilot platform.

RASID works with organisations that need Earth-observation data, geospatial AI or custom geospatial software. This includes companies, engineering and consulting firms, research organisations, international organisations and public-sector institutions.

Yes. RASID is based in Paris and Beirut and delivers geospatial technology and consulting work internationally. Its Earth-observation workflows can be applied across geographic regions wherever suitable data is available.