In short
HappyRobot CEO Pablo Palafox explains how HappyRobot builds enterprise AI agents (voice and other channels) to run core operations across “order to cash,” orchestrating and governing agents for operationally complex industries.
Guest backgrounds
Pablo Palafox is from near Madrid; he co-founded HappyRobot with his brother Javi (computer science/robotics in Madrid) and Luis (computer science and PhD in deep learning in Munich). The team moved to San Francisco to build enterprise AI infrastructure.
Key claims
HappyRobot has 100+ enterprise clients, doubled revenue year-to-date, and serves 44M Series B (after 15M Series A). They can deploy new agents in weeks and reduce the need for large hiring/call-center staffing. They recommend disclosing AI and offer human transfer if needed.
Notable examples
Freight brokers (e.g., CH Robinson, Uber Freight) get faster quoting via email; agents also call trucking companies to track shipments. A voice-agent case reportedly reached 20–40,000 U.S. customers daily, avoiding hiring 500 people.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOPablo's Background and Journey
0:45 to 2:10
Pablo shares his background, education, and the founding of HappyRobot.
“computer science and robotics with one of my other co-founders went to munich did computer science, then stayed for my PhD in deep learning.”
Growth and Momentum at HappyRobot
2:10 to 3:33
Discussion on HappyRobot's growth, funding, and client base.
“I mean, I imagine this must be the most, because you went through YC as well, right?”
Use Cases and Impact in Logistics
3:33 to 7:20
Pablo outlines specific use cases where HappyRobot adds value in logistics.
“For those who don't know, maybe who aren't close to the business, can you talk through some maybe like real life use cases where you're saving enterprise clients time or adding a lot of value?”
Transforming Client Operations with AI
7:20 to 10:47
Exploring how AI is changing client operations and perceptions.
“some of the largest oil and gas and utility companies on pretty much the same type of use cases.”
Moments of Product-Market Fit
10:47 to 14:00
Pablo reflects on key moments that indicated product-market fit.
“So there's been a few of those moments where you feel there's something that is working.”
International Expansion Strategy
14:00 to 15:42
Discover how HappyRobot is expanding its operations in Europe and beyond.
“You're hiring so many jobs in so many cities.”
Being European in San Francisco
15:42 to 17:06
Explore the experience of being a European entrepreneur in San Francisco's vibrant culture.
“So it is a bit of this word of mouth, really, that we get from customers.”
From Cockroaches to Stability
17:06 to 18:39
Learn about the transition from startup chaos to a more stable operational phase.
“Just do whatever you can to survive and you'll be fine.”
Factors Behind Rapid Growth
18:39 to 20:24
Understand the key factors that led to HappyRobot's impressive growth and investor interest.
“right or as a you're earning the right to continue building does that make sense so it's not that you win yeah i see for just saying you know your two rounds were so close together I guess what unlocked that?”
Transcript
Automatic transcript. May contain errors.0:00Pablo Palafox:Hello, welcome back to Scaling Europe show. I'm Seb Johnson. Today I am joined by Pablo. Pablo is up bright and early on the west coast of America, talking to you live and direct on this Monday morning. How are you doing today? Good morning, sir. Good afternoon. Thank you for having me. My absolute pleasure. How are you? Doing great. We were discussing before how I shouldn't have gone and played soccer that late in the night, so now I'm devastated. I'm extremely tired. that's what you got to do that's what you got to do tell me about who you are and what you felt um i'm pablo palafox i'm a guy from near madrid i lived together with my my two siblings one of those is actually one of my co-founders today my brother javi ended up in in madrid studying computer science and robotics with one of my other co-founders went to munich did computer science, then stayed for my PhD in deep learning.
0:54And then we ended up in San Francisco, the three of us, Javi, Luis, and myself, building AI for the enterprise. We basically are building the infrastructure to build agents for the enterprise in the real economy. We serve companies in supply chain like DHL or the utility space and telco now working with very operationally complex industries putting agents to work uh whenever there's no uneasy cookie cutter chatbot that just connects to your knowledge base uh and where you actually need a platform to to orchestrate and govern those agents in the enterprise and you're crushing it right i think
1:34Pablo Palafox:you put nearly 100 enterprise clients you mentioned some of them uh you're at 44 million series b led by base 10 which was less than a year after your was it 15 million series a um so you've got momentum you're signing clients you've got some great we've doubled revenue since the start of the year um over 100 customers um very happy customers i would say yes it's it's been a it's been a really fun ride it's just been two years since we started selling i started selling april 24. And in those two years, we've gone decently well. I'm very excited. I'm very happy for the work the team has put in.
2:12Pablo Palafox:How are you finding it? I mean, I imagine this must be the most, because you went through YC as well, right? This must be some of the most intense years of your life so far, going from zero to one, from one to wherever you are today, right? What's the experience been like? I mean it's a roller coaster right? When you are in in the early stages you just wish you can get to that one that first million and then you're like huh actually we were able to get there maybe we can get to five and then to ten and then to twenty how do we get to a hundred? So now we're in that process we actually had a board meeting recently and it was like guys like getting to a certain number is is inevitable how do we get to a 10x that wow so there's there there's such an opportunity in in in the in the enterprise space um our customers are really excited to put ai to to work in in their businesses and they really need the partner to navigate that enterprise, that business, help them, guide them through what makes sense, what doesn't make sense.
3:26So it's a huge opportunity. We're trying to build as fast as we can to cater to that.
3:32Pablo Palafox:That's amazing. For those who don't know, maybe who aren't close to the business, can you talk through some maybe like real life use cases where you're saving enterprise clients time or adding a lot of value? Yeah. So we think about our platform and our business really as a very horizontal product that helps a very specific set of niches or verticals. We do that because we go extremely deep in the businesses that we serve. We go and serve all of the core functions of the enterprise from order to cash, if you will, from helping a customer reply an email to quote their own customers or to give customer service to their customers or to, let's say, provide information of where a certain shipment is, if we're talking about supply chain, onto the back office operations of reading documents, collecting that paperwork and organizing that paperwork, or even collecting payments at the end of that cash piece, from order to cash.
4:44I'll give you an example in the logistics space, for example. Many of our customers receive, again, thousands of emails every day from their own customers. In logistics, you have intermediaries, right? You have people that are coordinating the movement of things. So let's say we have a CH Robinson or Uber Freight. Those are so-called freight brokers. Those folks, they get thousands and thousands of customer inbound. hey, like how much for moving these shipment, these load from Dallas to Chicago. And then these logistics intermediaries that we serve, they have to reply very, very quickly to that email coming in with a number.
5:28Oh, for Dallas to Chicago is X. So we help them build these systems to really reply extremely quickly to those requests to first, you know, capture that sale. so that's the quoting piece we do all of that uh once you know imagine i am a freight broker once i have a load that i move for use from dallas to chicago now i need to actually move that load so now i need to find trucking companies if we're talking about domestic logistics to move that load so now what i'll do is all of the back office coordination with the tracking companies track the shipment as we call it we we have agents that are constantly reaching out to those trucking companies by calling them hey mr driver where is my load is it in dallas still that's bad i needed to be in chicago already so we do that work for for those logistics folks and now we've we serve nine of the top 10 freight brokers in the u.s uh seven of the top 10 u.s tracking companies, like the actual tracking sites.
6:35So we've now expanded from our initial needs of freight brokerage to the tracking space to now serving five of the top 10 logistics global companies, like so-called freight forwarders, and even two of the largest three ocean carriers, like the big boats that I see here in the bay in San Francisco. and that gave us the intuition that, okay, we've actually built a platform that can serve these very operationally complex companies, serve all of their core functions from, again, selling, customer support, operations, onto even the money piece, collecting payments from customers. So that is at a glance what we do.
7:20Today, as I mentioned before, we're already working with some of the largest telcos. some of the largest oil and gas and utility companies on pretty much the same type of use cases. Selling, customer support, operations and back office, and some form of payment collection. So that is the core four items that we typically serve our customers with.
7:44Pablo Palafox:And what's it like when we live in this tech bubble, most of us are very AI native, using the best tools, using agents. I imagine a lot of these clients and sort of behind the curve or slower to adopt, which is why they kind of come to you. What's it like when you kind of deploy these solutions? Is this a real game-changing moment for a lot of the people inside the company where they realize what the standard you can do? I'll give you an example. One of our clients, they came to us thinking they had to hire 500 people to do a particular task. Imagine 500 people you don't find like, you know, from under a rock, no?
8:22Like you have to start hiring.
8:23Pablo Palafox:That's like a Series D company or something. You know, that's like in our world, that's a huge company, right? I mean, typically they would resort to call centers and they do a great job, EPOs and call centers. But it does take still a lot of time to train them and to keep consistency across those operators. So in this case, it was a use case that entailed calling consumers in the U.S. to let them know about a certain thing regarding their payment with their package. Okay, so imagine you get a call from an agent saying, hey, Seb, if you don't do X and Y, you're not going to receive your package.
9:10and we built an agent in just a couple of weeks for this client that was essentially reaching out to 20 to 40 ,000 customers in the U.S. every single day. So that is the scale at which we can operate with our customers. We can, from one week to the next, we can have an agent ready that is essentially reaching out to thousands and thousands of customers to make their life easier, to actually help them benefit from AI and not be like, oh, I don't want to talk to AI. These people, most of them were like, oh, yeah, amazing. Yeah, I was trying to get that package. Thanks for calling. I really appreciate it.
9:50So there's this misconception also of how AI is going to be like, oh, it's going to scare our customers away. We haven't really seen that. Maybe there's always like a residual 5 % because we always recommend our customers to say it's AI from the beginning. If it's an email, it's less obvious. If it's a chatbot, it's kind of expected that it's AI these days. If it's a phone call, it's the most tricky one these days. And we always recommend just say it. It's fine. If they want to talk to the AI because they want to get it solved and they know that it can help them with that, they're going to do it.
10:24If not, they'll just get transferred to a person. It'll take maybe a few more minutes for them to solve that problem. And the next time they come back, they'll know that it's actually better to talk to the AI. So we do thrive on that communication heavy layer that connects to systems of record to get things done. So, yeah, that was the transformation that we've seen in some of our customers, for example.
10:46Pablo Palafox:And as I mentioned, things are flying. You're signing deals. You're raising money. What was the moment where maybe you found product market fit or things really started to take off where you kind of went from building something scrappy, is this going to work, to all of a sudden you're running with momentum? Great question. So there's been a few of those moments where you feel there's something that is working. We were one of the first companies back in January 24 building voice agents, which is a very core piece of our product. We pride ourselves in the fact that we've built our own voice agents.
11:30And, you know, we did that back in the early AI days. And that already kind of gave us that momentum in that first part of the year in 24. We thought we had a thesis that we could go to traditional businesses and put these AI agents, these voice agents in particular, initially to do stuff. we were not sure that was going to work because again we were going to traditional businesses in particular we started with logistics because of my co-founder Javi's background and once we went to conferences and we started doing these demos and I remember Javi and myself Luis we kept in the in the in the cave coding right as our CPO but I remember like doing these this this demos to customers like literally holding a phone and like talking to an AI and they were like sorry excuse me who are you talking to again like who is this and we're like oh this is our ai agent like holy shit like i i wouldn't have guessed okay so there was like some pivotal moments there ah so that was the first one where it's like okay let's try it out let's go to customers and put in production and that first part of uh that that 2024 we we got that momentum really really quickly like it just picked up with a few customers it was not many customers it was maybe like five customers that we were kind of piloting with but those folks were extremely engaged uh we were able to land uh one of the top uh 30 uh logistics companies in the u.s amazing and they're like that happy middle between not being too big that they're like ah these people who the hell are they just like three kids like doing stuff but also not too small they actually had the needed volume for us to see some scale like some scaling issues even at the first so that was that was probably like the first moment we're like yeah let's go for it because before or during yc back in uh the last like september 23 we did yc summer 23 uh i've told it a few times now that we pivoted away from what we were doing before we were doing computer vision stuff based of my PhD in computer vision.
13:41We were like kind of going for that world of imaging and stuff. But we pivoted away from that. We were in our pivot hill for a few months. And that's first like quarter of 24 is when things started picking up.
13:58Pablo Palafox:And I was having a look at your job board. You're hiring so many jobs in so many cities. how are you thinking about international expansion? It's not that many cities actually it's a few select locations so in Europe in particular man, there's so much talent in Europe there's so much Antep talent and thanks to obviously our origins we're able to attract a lot of the in particular Spanish talent so we have a big hub in Madrid and Barcelona So that is a great source of talent for us. We are now expanding indeed in London. So we have started an office there. We just hired a few months ago our head of revenue who was reporting to Palantir's CRO for six years.
14:54So we are able to attract a lot of that talent in Europe, which is great. And really our focus is around the U.S. market, the certain geographies in Europe. And then LATAM for us is really big because many of our Spanish customers are basically bringing us to LATAM, Mexico, to Brazil. That's really core for us. And then we have other geographies. For example, in Australia, we're seeing a lot of demand, a lot of pull, where we just decided to open up an office there. But funnily enough, we were brought there by some of our customers initially. Like, it was our existing customers that brought us there, and they actually said, well, we actually know other companies you could serve in this market, so you guys want an intro.
15:42So it is a bit of this word of mouth, really, that we get from customers.
15:46Pablo Palafox:That's great. Yeah. What's it like being European in San Francisco? Well, San Francisco is a very open city, open-minded city, if you will. It's a very fun city. You don't really feel an outsider. You really feel part of the whole vibe. There's a lot of people coming and going, so there's no really... Oh, I'm from San Francisco since like 30 years ago. My family was born here. I mean, maybe you have some of those, but in practice, you just see like everyone coming and going. And it just feels like a very fun city, like very, very, very much the time to be here, to be honest. Like when we got here in 23, it was maybe a little bit more quiet.
16:33Right now, it's booming and it's booming. So it feels great. I mean, I highly recommend coming here. It's relatively expensive. Like rent is a little bit high. But I remember when we started in 23, we just hit ourselves like probably under minimum salary and you're still able to survive. I mean, maybe you cannot. You just have to go to the cheap supermarkets and get some ramen. But I remember after the YC chat from Paul Graham kind of telling us, guys, you just need to be a cockroach. Just survive. Just do whatever you can to survive and you'll be fine. So that's what we did. We were cockroaches, I guess, for the first few months and we survived.
17:27Pablo Palafox:And now where do you feel that you're at? You're out of that stage. now things are a bit more relaxed you're sort of out of that chaos of the early stage we try not to relax really uh the only advantage i don't know who told me this but the only advantage against a big enterprise is urgency now like the only advantage against um uh a big competitor like some of the hyper sailors even or it's just urgency that urgency to get things done is what keeps us going faster than them so we're definitely out of the the the like cockroach moment like we are we have you know a good amount of cash we're very efficient um but uh but i almost whenever we race around i'm like guys where's the money there's no money like don't think there's money here just continue operating as before yes you know we have a few more few more years now extra of runway uh but forget about the money like we just we just got them you almost get money as a as a right or as a you're earning the right to continue building does that make sense so it's not that you win yeah i see for just saying you know your two rounds were so close together I guess what unlocked that?
18:53Pablo Palafox:What happened there? Was it explosive growth? Were you being preempted? I mean, you obviously raised that big round, you know, 15, 16, and then from May 16. What happened in those 10 months that enabled you to then raise, you know, a much bigger Series B? It was more than 10x revenue since the A, from the A to the B. So that rapid scaling really was what triggered it. And we were preempted both those rounds. So we never really were looking for it. We were just like maybe dancing around like, oh, like what would happen if... And then suddenly you get a term sheet or a few term sheets actually. But yeah, it was just that rapid growth.
19:39I think there's been a great... It was a great decision for us to also focus on one particular segment because we were able to build, again, really, really deep for these businesses across the house. So we were able to understand fully their operations and be like a partner, like their main partner to run their operations. So that unlocked a lot of, I guess, stickiness in a certain way. We were able to be very helpful for our customers. The customer calls that investors were doing were amazing. They were like, customers freaking love you guys. Like, what are you doing? So there was that, like, what are these people doing?
20:24What are these hyper-robot guys doing with their customers so that they love them so much? So there was that rapid growth and that customer love.
20:36Pablo Palafox:Yeah, that must be so powerful to VCs, right? When people just can talk to the customers, they get the real validation that we've built something meaningful. um well papo unfortunately we're out of time this has been amazing and like you're flying the flag for europe out of san francisco and you're one of the such a strong set of uh spanish co-founders as well um but look amazing thank you for spending time with me and the best luck in the next phase of your journey really appreciate it thank you so much
From the publisher
Many of the industries that keep the economy running still rely on emails, phone calls and manual coordination between people. AI is starting to change that, allowing companies to automate work that previously required large operational teams.
Pablo Palafox, CEO at HappyRobot, believes the biggest opportunity in AI is not building better chatbots, but helping businesses actually get work done. As more companies move from experimenting with AI to deploying it across their operations, the question is becoming less about what the technology can do and more about where it can create the most value.
The Scaling Europe show is presented by Deel. Check them out here:
https://get.deel.com/ruynb7o4lfjk
Sponsors:
Mishcon: https://www.mishcon.com/pop-ups/scaling-europe
Chargebee: https://www.chargebee.com/events/beelieve/london/2026
SurrealDB: https://surrealdb.com/
Airwallex: https://www.airwallex.com/uk?utm_source=other&utm_medium=partner_referral&utm_campaign=v01_emea_multi_ib_dg_prtmk_mofu_scalingeurope
Timestamps:
0:00 - Introduction
0:32 - Building AI agents for the real economy
3:43 - How AI is transforming logistics
7:47 - Why enterprises are adopting AI faster than expected
10:47 - Finding product-market fit
14:03 - Hiring and international expansion
15:49 - Building in San Francisco
17:33 - Maintaining startup urgency
18:51 - Scaling through rapid growth
20:02 - The future of AI agents
