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As a person who does and who's founded a company partially on the basis of the value of them, my opinion is that, in-part, it's because the ecosystem is extremely fractured, the tools are often an esoteric projection of the inside walls of one mad scientist's head turned into software, and they often don't scale very well (mostly due to the two previously mentioned conditions).

Additionally, the tools are often designed to empower a kind of pre-existing "priesthood" of a particular kind of verification practicioner, not necessarily to generally enable a more rigorous software development life-cycle by being approachable.

Granted we're trying to change a fair chunk of that, but that's sort of the status quo at the moment.

Lastly, there are some cultural forces in the software industry which aren't all that aligned or interested in making commonplace software development as rote, boring, and predictable as steel beam construction. But, I think those can eventually be overcome when people see the value of enabling a new bar for the sophistication of software innovations (e.g. like FEA and CFD did for mechanical systems).




What's your company? I'm interested in the commercial success of these tools and bringing down the cost of using them to industry-acceptable levels so they can be used in more projects.


Auxon Corporation (https://www.auxon.io/ a placeholder site, obviously. Low priority). Founded late last year. We're working on tools and technology for enabling people to build, automatically validate, and verify life-critical automation (e.g. highly-automated driving systems, industrial automation, etc.). But the ultimate goal is broad application.

Currently we work primarily with AV companies, automotive OEMs, and partners in their respective supply-chains. Our ambition is to create for Software & AI Engineers the kinds of sophisticated, accessible CAE tools & capabilities that have been enjoyed by Mechanical & Electrical Engineers for years. Software Engineers have done a phenomenal job enabling other disciplines, but we've done a less compelling job enabling ourselves in similar ways.




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