yep, we're trying to outcompete them. But it's a hard thing. MetaMap: we beat it, cTakes, we can do it faster. But really how many < 80ms concept recognition systems do you need that work on 28M documents. And if you have that: what are you going to do with it. We have, internally, systems that predict dense vectors based on CUI graphs of concepts in text. Great for similarity search: but utterly useless in the end.