Artificial intelligence has moved beyond being a mere promise to become an essential element in the transformation of companies. New startups are revolutionizing the way AI is integrated into corporate processes, and one of them, with Spanish roots and a base in the United States, is making a difference by turning AI into a tool capable of understanding and executing tasks autonomously. This advancement responds to the growing demand from organizations for solutions that integrate strategy, data, and talent into intelligent systems capable of operating independently, optimizing efficiency, and adapting to increasingly competitive and regulated environments. HappyRobot, founded by brothers Pablo and Javier Palafox along with Luis Paarup, made the leap to Silicon Valley after its time at Y Combinator. Since then, it has experienced rapid growth, collaborating with large companies and surpassing $10 million in annual revenue. Currently, the company is focused on expanding in Spain, aiming to reach 100 employees by the end of the year. In a conversation with Pablo Palafox, CEO and co-founder, we analyze how they are facing this new scenario. From understanding to action: the new business AI The project was initially focused on developing deep learning models, but they soon realized that the market needed something more: to automate complete processes, not just analyze data. “We realized that companies required solutions that not only interpreted information but also executed tasks. That’s why we decided to bet on applied AI,” explains Palafox. This strategic shift was key to the evolution of HappyRobot, which in just a year and a half went from its first client to working with over 150 large companies. The success lies in having developed robust technology capable of operating in complex environments and demonstrating value from the very beginning. “We built a ‘battle-tested’ platform that integrates with business systems and executes tasks from start to finish,” adds the CEO. HappyRobot's proposal goes beyond simple interaction: its AI agents directly intervene in workflows, autonomously completing processes within corporate tools. The result is a tangible improvement in efficiency, reducing processes that previously took days to just minutes. Large-scale automation and real-time control With the expansion of the platform, the challenge shifted from being conceptual to focusing on the ability to support large loads, precision, and real-time control. HappyRobot's architecture is designed to integrate with companies' internal systems and execute complete tasks, managing millions of simultaneous interactions and offering observability and auditing systems for total control of AI Workers in production. Currently, the technology automates over 75% of phone inquiries, maintaining response times of less than one second even during peak demand. To achieve this, they combine proprietary AI models with internally developed components, adapting the behavior of agents according to the operation. The complexity of the system responds to the need to coordinate multiple technological layers in existing business environments, which influences both the design and evolution of the product. The goal is to eliminate repetitive tasks, improve customer experience, and allow employees to focus on higher-value activities, such as exception management and customer relations. In addition to efficiency, the platform improves the quality of interactions and reduces friction in daily operations, redistributing the workload in areas with high interaction volume. Regulatory compliance and agile deployment The development of these technologies progresses alongside an increasingly strict regulatory environment, especially in customer service, where regulations like Law 10/2025 require immediate access to human agents, responses in less than three minutes, and service in co-official languages. “Our technology allows us to meet these requirements without increasing the structure, as it redistributes work between AI and human agents. By automating 75% of calls, human agents can respond faster, and the user always has the option to speak with a person,” notes Palafox. HappyRobot has developed voice technology in Catalan and is working on its adaptation to Basque, facilitating service in co-official languages and improving the naturalness of conversations in multilingual contexts. Another differentiating aspect is the speed of implementation in large companies, which are traditionally slow to adopt new technologies. Thanks to a flexible architecture, deployments move from pilot to production in weeks, integrating with existing systems without complex redesigns. “We have created an infrastructure that allows for the development of customized agents and integration with the client's systems without relying on multiple providers,” states the founder. With over $10 million in annual revenue, backing from Y Combinator, and a Series B round underway, HappyRobot is positioned for international expansion focused on product, talent, and scalability. The ultimate goal is to evolve into an “AI Operating System for the real economy,” an infrastructure that connects intelligence and action in real-time to manage complex operations at scale, concludes Pablo Palafox.