Zero-hallucination pipelines: AI-powered SpaceOps grounded in live environments

The biggest challenge in Earth Observation (EO) is no longer data collection, but data efficiency: processing and scaling meaningful information – with true economic viability. Adopting useful AI tools is crucial for the space sector to facilitate this transition. However, traditional Large Language Models (LLMs) often risk errors by “hallucinating” field names for geospatial data. This session will introduce and demonstrate how the Model Context Protocol (MCP) supports reliable pipeline automation and AI tooling for near real-time intelligence and scalable monetisation.