We're currently focused on the development of the software and getting a shippable product.
Our target demographic is small and medium sized engineering firms, who then go on to use our software assist in the design of products for their customers. The social media campaign is simply a fast, cheap means of establishing an initial presence despite being currently unknown. It will also allow us to reach smaller, more agile players quite well. But yes, our goal is simply to allow widespread adoption of this technology rather than uproot the current solutions being used in limited amounts by very large firms.
Essentially, we aim to do for topology optimization what Microsoft did for operating systems.
"Better" depends on the problem at hand, though typical measures of performance are cheaper, lighter, stronger, etc.
You're right that this is certainly a computationally expensive field, however our value proposition to potential customers makes up for that. Our business partners will have a clear market advantage, being able to produce higher performing designs while having greater engineer productivity than their competitors.
Although that would quite frankly be pretty surprising, given the immense value we offer our customers, the next step would be to spin off the technology we've developed to an existing topology optimization software vendor. We're breaking new ground with this software, and some of our developments would undoubtedly be highly valuable to established companies in this area.
We're currently focused on the development of the software and getting a shippable product.
Our target demographic is small and medium sized engineering firms, who then go on to use our software assist in the design of products for their customers. The social media campaign is simply a fast, cheap means of establishing an initial presence despite being currently unknown. It will also allow us to reach smaller, more agile players quite well. But yes, our goal is simply to allow widespread adoption of this technology rather than uproot the current solutions being used in limited amounts by very large firms.
Essentially, we aim to do for topology optimization what Microsoft did for operating systems.
"Better" depends on the problem at hand, though typical measures of performance are cheaper, lighter, stronger, etc.
You're right that this is certainly a computationally expensive field, however our value proposition to potential customers makes up for that. Our business partners will have a clear market advantage, being able to produce higher performing designs while having greater engineer productivity than their competitors.