Decagon, every mention
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every year anyone Jesse Zhang 8Joe Schmidt 4Jen Kha 3David George 3Ashwin Sreenivas 3Sarah Wang 2Alex Rampell 2Stephanie Deng 1Matt Bornstein 1Elena Burger 1
Verbatim, from the transcripts: the passages where Decagon comes up
The State of AI: Models, Moats, and the Consumer Renaissance
Lighthouse or Landgrab? How to Pick Your AI Sales Strategy
- ▶ 13:30 Elena Burger I know in the piece you talk about Hebea and Harvey as, as classic lighthouse examples, and then Stutt and Decagon as, as land grab.
- ▶ 25:22 Joe Schmidt I mean, I think like Decagon has done an amazing job, um, at this. 4 times in the scene
How Open Source Became AI's Backbone | Inferact with a16z
- ▶ 7:39 Matt Bornstein This is what sort of Decagon and Harvey are in the process of doing now.
How Decagon Runs 90% of Its Agents on Open-Source Models
- ▶ 0:57 unnamed speaker What's Decagon's moat, and, like, why does Decagon, like, 10 years from now still have a right to exist? 2 times in the scene
- ▶ 1:59 Jesse Zhang So when we started the company, uh, the goal was just to get something working, right? 3 times in the scene
- ▶ 5:56 unnamed speaker Anything at Decagon?
- ▶ 7:05 unnamed speaker You guys launched Decagon Labs, but even before the formal launch, it's always been a part of your culture.
- ▶ 10:26 Ashwin Sreenivas So we've, because the model landscape is changing so quickly, uh, Dacagon Labs is in a way a model factory of sorts, right?
- ▶ 13:07 unnamed speaker And do you think that's like something that's unique to the way Decagon is run? 6 times in the scene
- ▶ 15:47 unnamed speaker You know, we talked a little bit about Decagon Labs, but can you guys just share what is your, like, how do you think about this potentially false dichotomy of app versus infrastructure company? 3 times in the scene
- ▶ 25:39 unnamed speaker How different is that at what you did at Palantir versus the way you conceptualized this role at Decagon? 5 times in the scene
- ▶ 28:15 unnamed speaker I actually want to pull on this thread of, you know, that you talked about where your FDs are actually approving the product, you know, Deccon is a very product driven company. 2 times in the scene
- ▶ 35:12 unnamed speaker What's Decagon's mode? 2 times in the scene
- ▶ 38:36 Jesse Zhang Uh, Decagon versus Sierra, I mean, our, our most recent customer actually, uh, turned off of Sierra to come to Decagon, and sort of the reasoning when we asked them was, um, it was, it kind of goes back to this, like, deployment model. 2 times in the scene
- ▶ 41:53 unnamed speaker Cause I think they were working in the, in the space already and they were seeing from afar, like what Decagon was starting to do.
- ▶ 44:27 unnamed speaker Me, that one of the reasons of many, right, that they're going with Decagon is they want to make a bet on you guys. 2 times in the scene
- ▶ 47:36 unnamed speaker Probably, like, two, two years ago or so, uh, most of Decagon's customers were focused purely on customer support.
- ▶ 59:27 Ashwin Sreenivas Uh, the other thing is also, we, um, we bring everybody that we hire out to San Francisco for a couple weeks when they start, so they're kind of immersed in the kind of, uh, the original kind of soup of, of culture, uh, and then for every… 2 times in the scene
- ▶ 1:06:42 Jesse Zhang And for us personally, like so far with Decaon, there's like, we have zero desire to build a CRM because we think there's so much to do in the agentic layer.
- ▶ 1:12:41 Jesse Zhang And when we, now when I post on X, I don't really post about like Declan specifically.
- ▶ 1:19:08 Jesse Zhang And so with Decagon, they can kind of like keep it flat or whatnot, or it's actually, we still need people, but now there's all these other things they could be doing.
OpenClaw, Claude Code, and the Future of Software | Peter Yang on The a16z Show
- ▶ 27:32 unnamed speaker The other style of company which we see, which is maybe a decagon, right, or a happy robot is, hey, we did a hundred percent of a job like customer support. 2 times in the scene
Atlassian CEO on the SaaS Apocalypse, AI Agents & What Comes Next
- ▶ 9:02 Alex Rampell So, like, Zendesk would be, like, patient one there, where it's, like, how many seats does a Zendesk customer need today if they're using Sierra, Decagon, or, you know, roll their own?
The Biggest Bottlenecks For AI: Energy & Cooling
- ▶ 38:22 David George To, like, Cursor, uh, and, you know, nothing looks like Cursor, so it's unfair, but like Cursor and Decagon and Abridge and 11 Labs, uh, you know, and not, like, Shopify and DocuSign and, you know, those companies.
- ▶ 46:59 David George Uh, so, you know, companies like Cursor and Decagon and 11 and Abridge and, and, you know, others.
The AI Opportunity that goes beyond Models
- ▶ 1:00:45 Alex Rampell Like, um, there's a company called Decagon.
How AI Agents Will Transform in 2026 (a16z Big Ideas)
- ▶ 6:51 Stephanie Deng Our portfolio company Decagon is answering questions for a lot of their customers already autonomously, but for other cases, security operations or incident resolution,
"Is there an AI bubble?” Gavin Baker and David George
- ▶ 26:51 David George So, you know, we're investors in Decagon, customer support, like you can pretty easily see a business model that is priced on the resolution of a task because it's so measurable.
How Scale AI is Pioneering the Future of Work
- ▶ 4:20 Ben Scharfstein And they, you know, look to partners like scale and to many others, you know, there's these kind of vertically integrated, whether it's Harvey, Decagon, Sierra, and all those people as well to say,
The State of AI: Growth, Fragmentation, and the Next Wave
- ▶ 15:20 Sarah Wang Um, and then on the Decagon side, uh, you know, I think customer support is another use case that has been, um, hyped up, if you will, in terms of, hey, this could really, um, have an impact on the industry, but the early results 2 times in the scene