Inish Labs
A quiet argumentfor boutique spatial AI
Most organizations don't need a platform. They need the right small team, working in the open, delivering a specific system that works. Inish Labs is a two-to-five-person practice that does two kinds of work: spatial AI for organizations that live on their maps, and automation that takes the repetitive work off a small team's plate.
Eighteen years in GIS. Instructor at San Francisco State and UC Davis. Systems running on infrastructure we operate ourselves.
GIS & spatial AI
Maps that answerbuilt on the stack you already run
Spatial retrieval, address and parcel intelligence, field-to-decision systems: geographic questions that come back grounded in the right place, with the source attached. We build on whichever platform you already own, ESRI and ArcGIS or an open-source stack, so the work honors your licensing and your team keeps it running after we leave.
AI automation
The boring work,handled
Most of a small team's day is repetitive: chasing documents, retyping the same shape of information, moving data between systems that don't talk to each other. We build automation that does that work inside real constraints, with a person at every decision that matters. This runs as Inish Agents, our automation practice.
A closing note
Built to ship,sized to care
The work we care about (the map that settles an argument, the record that survives an audit, the answer that arrives while the decision is still open) rarely comes out of a platform. It comes out of a small number of people who understand the ground, sit with the constraint, and stay until the thing runs without them. We keep the practice small on purpose.