""We spend an enormous, enormous amount of time really assessing the entrepreneur and how resilient they will be able to be in a moment where things are just rapidly changing," Achadjian said."
""There is so much demand from enterprise companies to try the latest and greatest AI, sometimes there's false positives of product market fit," she explained, "and you can get a lot of revenue with not having true ROI," meaning customers who are getting their return on investment."
""If you're able to go deep and really solve a true need for them," in a way they cannot do themselves, then managing data is "where the important part is," he said."
Venture capital interest is concentrated on artificial intelligence, producing rapid market growth and intense competition. Investors prioritize entrepreneurs who demonstrate resilience, passion, domain expertise, and honest assessments of product-market fit. High enterprise demand can create false positives where solutions generate revenue without delivering true ROI. Founders need the ability to pivot as market conditions shift and many startups fail. Differentiation comes from proprietary data flywheels and deep solutions that enterprises cannot replicate internally. Effective data management underpins defensibility. Founders should also explain why their product will not be subsumed into foundational models as a mere feature.
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