Your question used to bug me a lot, too and I was also frustrated with the lack of companies that shared Numenta's vision. However, I began to realize that building a product based on the applied principles of intelligence is extremely difficult these days because the concepts are still in their infancy. No product on this Earth can meet the mission. In my opinion this is why almost no companies devote the necessary capital and patience to get there. Therefore, as of now it is just research and a dream.
An effective analogy would be to compare the current state of HTM theory to the Perception in the 1950s, or perhaps a little bit after the idea began to solidify. Back then the concept was just research, couldn't do anything impressive, and was outshined by other areas of technological interest. However, eventually its development and evolution gave rise to today's deep learning, it's various techniques, and the amazing technologies it has produced so far. As Jeff and Matt point out, HTM theory's success is a long term investment.
As of now the theory is much like an unsupervised LSTM, it can learn sequences of patterns in various contexts albeit HTM has a few advantages discussed in one of their papers. If Numenta developed an awesome product just based on today's ideas, I doubt the AI community would be impressed. The product would be just be more of the same. The real prize is building a comprehensive theory of the neocortex and applying it in software. Very few in today's AI community have this vision in mind, but the implications and applications are staggering.