Our product has two very distinct outputs 1) red flags and 2) a risk score. Our primary value-add is the red flags which are a qualitative input into an analysts process. We find the information you need to see without having to spend 3 hours reading nonsense. The two components get tested very differently. The red flags explain (sort of) the risk scores but not in a truly explainable fashion. The risk scores are optimized for precision and approximately 1 in 3 companies with a "fraud" score will end up with an SEC investigation or equivalent.

Yes! the NLP research we've done can be adapted to other tasks.