geomermaids · Cloud-native geospatial experts

Open Source by default, Cloud-native by design.
Architectures, Software, Pipelines and AI applied to geospatial.

Who I am

I design and build cloud-native geospatial systems: pipelines, APIs, dashboards, and ML workflows, using open source wherever it fits. The goal is always the same: geospatial data that is cheap to query, easy to reuse, and independent of any single vendor; geospatial systems that are actually useful, not just technically impressive.

I started out in France contributing to national and regional Spatial Data Infrastructure (SDI) projects, and have spent the last decade on cloud-native geospatial formats and the tooling around them. I now run Geomermaids LLC from the Boston area, working with teams that need geospatial data to hold up under real load and real queries.

My main stack is Python and SQL, with extensive PostgreSQL/PostGIS experience and a more recent focus on DuckDB, to which I've contributed patches. I'm equally comfortable extracting insight from Cloud Optimized GeoTIFFs and multispectral imagery when a project calls for it. I default to object storage (S3, R2) for the data layer and adapt compute and orchestration to fit the problem, with a soft spot for open source geospatial formats and the ecosystems around them.

One thread runs through all of it: these formats and tools work best when they reach beyond the early adopters, and only make sense if they are easy to pick up at scale. That's the gap I'm trying to fill, by building in the open, so others can learn from the work and take it further.

Guillaume Sueur Founder, Geomermaids LLC · Boston, MA

Services

Through Geomermaids LLC, I provide tailored consulting to optimize geospatial workflows, improve data accessibility, and sharpen decision-making.

Featured projects

A few things I'm currently building in the open. See the full list.