Enterprise AI Startups
topic on 6 shows · 7 statements across 7 episodes
Latent Space 
the Neon Show 
the MAD Podcast 
the a16z Podcast 
TBPN 
20VC
7 statements about Enterprise AI Startups, every show
Jain: Enterprise AI startups must redefine categories, not fight feature wars
“You have to be categorically differentiated. So when I go into a deal, I don't say my voice AI is better. I challenge the customer and say, why are you just doing voice AI? You should do voice AI and you should do companion agent and you should think more broa…”
Arora: Early enterprise AI startups need forward-deployed engineers to sell incomplete products
“So I think FTEs are needed for the short term because remember, all the enterprise AI startups are hungry for revenue.”
Ambati: Do not pretend to build a product before five customers
“Until then, I wouldn't say, don't even pretend that you're building a product because that'll hurt you more than it'll help you. Because you're basically thinking that you're building product, the cycles go there, but then they'll really just start to look lik…”
Mirzadegan: Enterprise AI sales require forward-deployed engineers for technical hand-holding
“Which is why you see so many companies doing like this forward deployed engineer motion where what they're going in and doing is saying, okay, number one, like here's how we think about LLMs and where you can get best use of it. Number two, here's this enginee…”
Coogan: Countless AI startups copy Palantir's forward-deployed engineer strategy
“You know, there are so many startups these days that are going after Palantir's market, competing in enterprise software, enterprise AI, forward deployed engineers. It's all a bunch of memes. Everyone's, Everyone's keying off of the Palantir strategy.”
Scharfstein: Enterprise AI startups should not compete with capable internal teams
“You don't want to be competing against these internal teams, especially really capable internal teams.”