How can Nyckel abstract the complexities of managing ML for non-technical product owners to easily build on top of them?

That's right. 

In retrospect, it seems crazy that if you want to add text messaging to your app, you’ll build that engine yourself. You are, of course, going to go to Twilio. The same thing in ten years will come to ML. If I want to add some text classification to my app, it would be madness to set up a whole machine learning ops for that. I’ll just call Nyckel or Scale. The reason that's possible, again, is that I don't need 10,000 annotated samples anymore. I need 100. Once you need 100, you can just do it yourself in an hour, and now you're done.