I've spent a long time debating with VLIW haters (that I presume you are with), but I'd love to see any citations you have for your claim that my causality is reversed, as I have a ton of evidence (to be fair not published yet) going for my side. While not as generally applicable as our architecture, you can take a look at basically any DSP from the past 15 years and see that VLIW works great from a performance and efficiency standpoint when your data is in a constrained form. We're showing that a compiler can structure a lot of different types of data (and the code required to actually operate on it) effectively if there are enough constraints on the hardware. Fairly pointless to try to convince you without documentation on hand for all parties, but hope you'll take a look in a couple of months.

As far as market, we are going after a decent sized market where the customers care the most about efficiency and performance, and are not only willing but very eager to switch their current solutions for whatever is best. As the typical startup claims, we are able to do it for a fraction of the cost and in a fraction of the time as one of the big guys, and have a solution that is 10x better than is out there. NVIDIA boasts that they spent $1 Billion developing the Pascal architecture, with them selling the Tesla series GPUs for it at $5,000+ a unit. We've shown we can prototype something that can theoretically beat it for under $2 million, and our hope/bet is that we can take it to market (and actually beat it by an order of magnitude) for less than $25 million. That's just HPC, which doesn't include the very interesting high end DSP area that is now using very expensive and power hungry FPGAs for wireless baseband solutions which we think are a very good fit for us.