Case studies

Selected work.

A decade of funded, delivered projects: the problem, the approach, and the result. From landfill methane detection to an award-winning AI geospatial agent.

Architecture diagram of GoSuite in four columns: Experience (MapUI chat and a tiling server), Platform (backend with GoClient, plus a usage and cost dashboard), Intelligence (GoPilot as agentic orchestrator running understand, plan, act, retrieve and answer), and Tools and Knowledge (a tool arsenal loading only what a task needs for 65 to 99% fewer tokens, GoServer, GoBase and GoDoc), all over shared Amazon S3 storage.
Platform

GoSuite: One Agent, Every Tool

RASID’s end-to-end agentic platform: GoPilot plans the work, GoServers supply the tools, GoBase supplies the knowledge and GoDoc parses the documents, with only the tools a task needs loaded into each request.

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Diagram in three stages: an unorganised data lake of loose COG rasters, shapefiles, PDFs, spreadsheets, GeoJSON, field photos, drone video and scanned TIFFs feeds into GoBase, a catalog and retrieval layer built from a content-hash asset spine, per-modality detail tables for vector, raster, docs, tabular and unparsed files, a PostGIS, ltree and pgvector index and a natural-language query layer; the output answers "Which reports mention flood risk near the port?" with three cited results that pass to GoPilot.
Data infrastructure

GoBase: A Queryable Catalog for Data Lakes

A catalog and retrieval layer that indexes an entire data lake, raster, vector, documents, spreadsheets, images and video, into one queryable spine with a natural-language layer on top.

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Satellite basemap of Saudi Arabia with the national boundary outlined in red and green markers showing automatically detected landfill sites
Environmental

MethaneMapper: Monitoring Methane Plumes from Space

A physics-informed methane detection system that combines Sentinel-2 imagery, synthetic plume generation and deep learning to identify potential methane emission sources from space.

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Satellite view of the Lebanese coast at Damour with hundreds of individually coloured polygons outlining annotated banana plantation parcels
Agriculture

BananaSight: Satellite Early Warning for Fusarium Wilt TR4

A Sentinel-2 monitoring system that learns the banana growth cycle across 713 annotated Lebanese fields and flags stressed plants, including Fusarium wilt TR4, so growers can target inspection before damage becomes irreversible.

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Overview card titled "6 Scenes. 1 Pipeline." showing six before-and-after satellite crops labelled geometric warp on a solar farm, co-registration, artefact removal, geometric warp on roads, cloud and shadow detection, and feature matching, with figures of around 200 GB processed end to end in about two hours
Imagery quality

C-ARD: Raw to Corrected Analysis-Ready Data

An AI pipeline that automatically corrects geometric distortion, radiometric inconsistency and cloud, haze and shadow in high-resolution satellite and aerial imagery, processing around 200 GB in about two hours.

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