If you cant though, then there is some kinda balancing act that the OP has to optimize, how many matlab sessions can simultaneously be hosted on one of the OPs VMs in the cloud at what cost? Since most of the cloud infrastructure providers seem to charge an arm and a leg for CPU, and I am assuming (maybe incorrectly) that this service will be CPU heavy, as an investor I would have to be convinced that this team has some technique for bringing down these costs...
either they would have to have better algorithms, or perhaps some interesting grid architecture that drastically reduces CPU time and hence costs, or something.
I am making assumptions here, but I think these are standard assumptions, these are the kind of assumptions you have to convince a investor you have a solution for. It may be as simple as saying, we can service 10,000 simultaneous users on 10 VMs, I have no clue what the numbers work out to, but they would have to at least show how this can scale profitably.