The SPADE family of models has many different incarnations
SPADE stands for SParse DEnse. The models, which belong to the general family of geospatial generative models, leverage the power of AI to smooth out and improve data which is too sparse to be practically useful.
The first application of SPADE has been to the reanalysis, nowcasting and forecasting of okadaic acid in mussels, with very interesing results. We then moved to test it on water depth in the Port of Rotterdam, on oxygen level in inland (coastal) waters, and on the reconstruction of flows in sewers networks (the netSENS.ai model). In all these applications the model gave very interesting results. We are now preparing to apply it to an innovative geospatial project, thanks to a grant from ESA.
In parallel, now that the technology is robust enough, we moved to the engineering of a sustainable business model. Estimates produced with AI are a new thing in most contexts, and even sophisticated corporates sometimes have difficulty “believing” that such a model can provide a step improvement over traditional approaches. As always for startups, business model definition is more difficult than the technology itself!