S16E2: GenAI for Geospatial Challenge Takeover – In Conversation with RASID

In Episode 2 of Season 16, Julia Wagemann speaks with Reda Haidar, Commercial Director at RASID.

RASID’s project, GoPilot, is an agentic Earth observation platform developed through the GenAI for Geospatial Challenge. It allows users to ask questions in natural language and receive clear, evidence-backed geospatial intelligence without needing to manually search satellite archives, download imagery or run complex workflows.

The project began with a focused use case around methane monitoring, using RASID’s Methane Mapper system to detect methane emissions from satellite imagery. During the Challenge, the team realised that the same architecture could support a much wider set of Earth observation workflows, from agriculture and environmental monitoring to infrastructure analysis and change detection.

In this conversation, Reda explains how generative AI acts as the reasoning layer in GoPilot: understanding user intent, selecting the right tools, retrieving relevant data, coordinating analytical workflows and synthesising results into actionable answers.

The episode also explores the role of AWS cloud credits in helping the team experiment at scale, including the generation of more than 100,000 synthetic methane plumes, model training, and the development of an agentic geospatial platform using AWS tools and infrastructure.

Host: Julia Wagemann
Guest: Reda Haidar
Organisation: RASID
Project: GoPilot
Series: Scene From Above, Season 16 – GenAI for Geospatial Challenge Takeover