GPUs for flaw detection in craft beer

The models are written in R and trained on spiked samples of beer - we add a known chemical contaminant to the beer, review the product, and train the models.

Depending on the style of beer, we sometimes use our clients products, sometimes representative a representative beer from the style of interest. Depending on the flaw, sometimes the models are global (style independent) and sometimes there's a model per style.

We do some marketing in trade publications such as New Brewer and Roast magazine (for coffee). We also attend trade shows.

Any marketing ideas?