This seems to be a very ambitious project, as there are several ML projects that have very obscure dependencies that dont't work out of the box. This is especially true for older repos. I would personally be very interested at a reasonable price level (compatible to vast ai or runpod) to check out some repos without hassling with setup.

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But I'm just a hobbyist. In a professional environment, I don't know if I would be interested in an automated ML setup for a long term development/production solution. My company uses H2O, DataRobot, some IBM solution, (and another one but forget the name). They have some attractive features for everyday data analysts, but mostly limits the advanced users. In a corporate environment, your solution seems to fit between an expert developer who does all work, and an AutoML solution that makes most of the work.

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I think it is great idea for rapid experimentation for middle-high end development . So I suspect your target audience for those features are going to be either educational institutions, or any kind of research centers, be it military or commercial. I hope it will have enough interest to support you financially. Good luck with your company.

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ps: if you can find a way to let users download the environment where the target repo runs (or provide a tool to mirror) for local development (may be at an extra cost) it would be very useful feature for most people. I would even pay for such a stand-alone software.