Maritime & geospatial ML

Maritime and geospatial problems rarely come with clean data. Feeds arrive at different cadences, in different projections, with gaps and noise, and the questions that matter — where will this vessel be, how much fuel will this route burn, what does the sea state look like in six hours — demand probabilistic answers, not point estimates that hide their own uncertainty.

We build systems that fuse heterogeneous oceanographic and vessel data, align it in time and space, and produce calibrated probabilistic forecasts. The emphasis is on ensembles, honest uncertainty, and outputs that operations teams can actually make decisions against — proven in real operations rather than on retrospective benchmarks.