Thanks! Scale > Great question. We think we can do it. We have a great offshore team with affordable scaling, also we just implemented our first machine learn

Thanks! Scale > Great question. We think we can do it. We have a great offshore team with affordable scaling, also we just implemented our first machine learning module, and plan to build on this to help speed up and improve accuracy. False flags on detecting outbreaks > No we have not. Mainly becasue we don't make pronouncements such as "Restaurant X made people sick and they have a problem". Mainly because foodborne illness can be complicated. It may have been a supplier problem, it may be something related to that restaurant but not that restaurants fault. What our site does make clear is that 120 people reported sick after eating at Restaurant X, and at that point both the restaurant and public health ought to examine the situation immediately. It's up to public health agencies, the epidemiologists etc. to make the official judgement. False flags on predicting food safety issues (potential precursor to outbreaks) > So far our goal is to partner with companies that exhibit high risk and the health agencies that monitor them. So we have not made any public predictions on that, except I think once on Chipotle, which was correct, but I'm not certain we would do that often. This will probably evolve, and it's something we need to be careful on.