Geospatial, Climate, Energy & Industrial AI Service Providers
This RFI evaluates providers that design, build, deploy, and operate AI-enabled solutions using spatial, earth-observation, climate, energy-system, operational-technology (OT), engineering, and industrial data.
For this study:
- Geospatial & Earth Intelligence AI includes GIS, satellite/airborne/drone imagery, SAR, LiDAR, point clouds, maps, positioning, spatial analytics, and location-aware decisioning.
- Climate & Environmental AI includes weather and climate intelligence, physical climate risk, environmental monitoring, emissions measurement/management, nature and biodiversity analytics, and climate adaptation or resilience planning. Transition-risk, carbon accounting, ESG reporting, and sustainability data management are in scope when AI is material to the solution.
- Energy AI includes power generation, renewables, grids and utilities, oil and gas, energy trading/forecasting where linked to physical energy systems, storage, EV charging, energy efficiency, and decarbonisation. It may use geospatial, climate, asset, market, engineering, and OT/IT data.
- Industrial AI includes manufacturing, process industries, mining, construction, logistics/transport assets, and other physical operations; examples include asset performance, reliability, quality, safety, process optimisation, digital twins, robotics, and connected-worker solutions.
AI is not limited to conventional ML. Respondents should include relevant production use of generative AI, multimodal foundation models, agentic workflows, and physical AI/robotics. Do not claim these capabilities where they are only experimental, generic, or not material to client value.
Study Lifecycle
Response Guidance
• To ensure fair, consistent, and objective evaluation across all participants, we request that questions requiring numeric inputs (such as counts, percentages, or ranges) be answered strictly in the specified numeric or selectable format wherever possible.
• For questions that explicitly request descriptive responses, participants are welcome to elaborate on their services and capabilities. The length of such narrative responses will not negatively impact scoring.
• Our intent is not to restrict the level of detail provided, but to enable clear, comparable, and evidence based analysis accross all vendors. Where estimates are required, reasonable approximations or clearly stated ranges are acceptable. Thank you for your cooperation in helping us maintain a rigorous, transparent, and unbiased evaluation process.
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