Software developer working on geospatial data on monitors

AI agents built for spatial data, not marketing buzz

We build production-ready geospatial AI agents for enterprise clients across Europe.

HOW WE BUILD

Custom software that ships, not just specs

We write production-ready code for enterprise systems. No vaporware roadmaps, no over-engineered architectures, just software that actually works.

See our approach Call us

Developer working on multiple monitors displaying code and data visualizations in modern office

Geospatial AI agents

AI agents that actually understand spatial data. Built for logistics, manufacturing, and mobility workflows.

Software engineering team reviewing code on large screen in bright modern office

Custom software delivery

We build what you specify. From architecture to deployment, no shortcuts, no hidden scope.

Close up of hands typing on laptop with digital network overlay in modern workspace

AI integration done right

We connect AI into your existing stack. No wrappers, no magic boxes, just integrated logic.

Technical consultant explaining data flow to client on whiteboard in clean office

Technical consulting

Project-based advice on architecture, spatial data pipelines, and production AI decisions.

CLIENT RESULTS

Over 10 years of spatial data expertise

Our experience spans a decade of production-ready AI and geospatial integration for enterprise clients across Europe.

More about our work

Kawunu built an AI agent that processes our logistics spatial data in real time. No overhead. No delays. Just clean integration into our existing stack.

Thomas Richter

CTO, LogiData GmbH

We needed a custom solution for geospatial AI that could scale across manufacturing sites. Kawunu delivered production-ready code in weeks.

Elena Voss

Head of Operations, ManuTech AG

Their consulting on spatial data architecture saved us months of trial and error. Direct, no-nonsense advice that actually worked in production.

Dr. Stefan Bauer

Senior Data Scientist, MobilityCorp

Kawunu integrated our AI agent with existing geospatial systems without disrupting operations. The team's focus on practical outcomes made all the difference.