Salesforce

“Even though we're like six months or like seven months old company, we actually built so many things. We had like, you know, Twitter, we had like a Salesforce integration. We have like HubSpot integration, like many other things that we never like released.”

“And it feels like in this wave, it's probably eighty-twenty again, right? It's probably, Google will probably become a player, right? OpenAI is closely aligned with Microsoft. And then, you know Salesforce with AI is probably Salesforce, right? It probably isn…”

“This feels to me like the first time that maybe Salesforce is vulnerable or certain ERP vendors are vulnerable or others where you have a lot of very dense interconnected software.”

“Salesforce is an amazing company in terms of many dimensions of execution, but it does have repeated pattern of like announcing, you know, interesting products that like never seem to see the light of day or get broad customer develop deployment.”

“For ad hoc, you know, nothing is going to be better than the natural language. I, at least I'm already using it. You know, we push Salesforce data into what we call Snowhouse. That's our internal Snowflake database.”

“In most disruptions, I think the rebels have the advantage. I don't think that's the case here. Like we have so much data over so many years about so many customers and That's what makes this stuff really sing. And as a brand new startup in the space, you gott…”

“They bought four marketing companies in one year and we went from being their best partner to kind of an enemy.”

“Within that unstructured data, of course, there's data that should remain unstructured and can be vectorized and embeddings, but there's some data, there's actually a lot of structured data in there sometimes, right? In a phone transcript that a retailer might…”

“We were working with a couple customers, including Gucci to develop very early prototypes of what now has become service GPT.”

“So a great example of this, the most popular one is service reply recommendations for contact center agents.”

“We have this pretty awesome prototype. It's called generative canvas where, you know, as you're conversing with the Einstein co-pilot, it's kind of just popping up different components that you would need from within what you're doing.”

“What we've seen is that the average handle time on support issues has gone down, and then, but instead of hanging up, the service advisor is able to have a deeper conversation”

“So it's really a combination of using Whether it's Cogen from our research team, which is the, which powers Apex Cogen GPT that we have in, in our developer GPT, where you also fine tuning versions of that for domain specific models in customer service and for…”

“Most customers are in the middle, right? They're still experimenting. They're realizing how important it is to get their data ducks in a row, and they're starting to do things like connect their Salesforce data cloud with their various data lakes.”

“We're seeing our data cloud grow as the fastest organically developed product in Salesforce's history, and a lot of that is driven by this need for data to power AI, whether it's for training and fine tuning or for reg.”

“The big rounds aren't venture capitalists. Investing billions of dollars is the big tech companies. It's Amazon and Google and Microsoft and Salesforce and NVIDIA actually, right?”

“Salesforce didn't win all these CRM use cases because they had just built all the features for CRM, but really because they had created a platform that could be customized for every customer's needs.”

“We effectively build our own customer data platform for this, because it's, you know, you just can't use Salesforce. I mean, The tools just don't really work that way. You can't ingest a signal in the way you would want.”

“GitHub can't do this because GitHub doesn't know who you've promoted. They don't know who did well. They don't know who you've had to let go of for performance reasons. Salesforce doesn't know that either. And so, like, I'm sure there's gonna be really cool, l…”

“People, people say that these SaaS platforms are going to be disrupted. I actually think the opposite. That they're sitting on a gold mine, that, that they're going to be this flourishing of agents that are going to be specialized in Salesforce specialized in,…”

“Again, obviously, we respect like the sales forces of the world that build amazing businesses, but we just don't think that's the right approach for the AI era.”

“Nobody has two sales forces deployed in an enterprise. Nobody has two workdays deployed in an enterprise. Nobody has two SAPs deployed in an enterprise. Why? Because you need end to end visibility, a singular workflow, a singular set of analytics to solve the …”

“On the other hand, it's absurd if we think we are SAP or Salesforce. We are not. There are, you know, somebody managing a hundred billion dollar supply chain ecosystem with a complicated software provider isn't saying, hey, I'm going to use SI and I don't need…”

“ADP Took 20 something years to grow from a billion to ten billion in revenue. And then the next wave of companies like Adobe took about 20 years to go from one to 10. And then you fast forward in time and you have things like Salesforce or SAPs for an even mor…”

“There are a number of applications that, you know, on paper sound really interesting, like, oh, yeah, I could just rebuild Slack or you could rebuild Salesforce or could rebuild, you know, X, Y, and Z. I think, you know, the, It's not just the product, it's th…”