[brudgers]

To me, this seems like more of consultancy type business than a SaaS. The reason being the logistics of moving meaningful data sets to the location of the compute are much more difficult than moving compute to the location of the data as data set size becomes more interesting.

The other thing is that the competition for ML SaaS is Google and Microsoft and maybe Amazon. They're able to apply ML to the logistics of ML SaaS and are competing on pricing in a commodity model. That's probably not an ideal market for a small company to pursue.

Good luck.