Why AI security startups are getting acquired instead of going public
“see that argument, but I just think it applies to different levels based on what that primitive is.”
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see that argument, but I just think it applies to different levels based on what that primitive is. Like, for example, in in AI security, we've seen there's been a few recent transactions. Palo Alto Networks acquired a company recently called ProtectAI, and and you would have seen Lakera was acquired by by Checkpoint. And I think that speaks to the fact that maybe, each primitive won't support a large stand alone company. And like in vector databases, actually, a lot of these primitives can be bundled into an incumbent offering.
About this clip
Akash Bajwa explains why certain AI primitives like security tools and vector databases aren't building standalone billion-dollar companies, but instead getting bundled into larger incumbent platforms. He points to recent acquisitions like Palo Alto's ProtectAI purchase and Checkpoint's Lakera deal as evidence that these specialized tools work better as features than standalone products.
Why this clip
Provides concrete examples and a clear thesis about why certain AI categories are consolidating rather than creating independent unicorns.
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AI models are finally mature enough to create entirely new user experiences
21:29 - 39s · market insight
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