There are not so many deep learning business models that seem to work: - Selling hardware (only works if you're NVDA) - Selling cloud services (not reasonable for a startup) - Selling consulting services (what most startups do) - Selling courses (crazy effective, for now)
Building an okay team and selling the team to a large company has been a common (and successful) strategy among DL startups, but it's not a business model. "Business model" implies you're doing business.
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A business model is about value creation and value capture. The "problem" in DL is the value the individuals on your team is high or perceived high from the onset. Selling the team is capturing that value for the individuals involved. It is therefore a business model.
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That said, the item that I think was missing from your post was not 'building a team and selling it' but building a product or technology, creating value and capturing some of the value you create. This is possible, and works, too. It's just hard.
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I'll let "okay team" slide because I have far too much respect for both of you! Ultimately, businesses are run by people therefore the "model" which they adopt is somewhat inseparable.
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More importantly, rarely is the business model obvious. Do you think Google initially had a business model for PageRank prior to AdWords?
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