More than 82% of global companies are now using or evaluating artificial intelligence in their operations, and Stack AI is positioning itself to meet that demand not by building new language models, but by helping enterprises apply existing ones to core business tasks. Founded in 2022 by MIT PhDs Antoni Rosinol and Bernard Aceituno, the company has developed a no-code platform designed to help non-technical teams build AI agents that can interact with enterprise data and systems to automate a wide range of operational workflows.
This week, the company announced that it has raised $16 million in Series A funding. The round was led by Lobby VC and LifeX Ventures, with participation from Guillermo Rauch, CEO of Vercel, and Bob Van Luijt, CEO of Weaviate. Existing investors including Gradient, Y Combinator, and Epakon Capital also joined the round, alongside Soma Capital, True Capital Ventures, and several angels.
Stack AI began with a clear problem that large language models had become increasingly capable, but companies couldn’t easily integrate them with their internal data and workflows. “We applied with a random idea of semantic annotation for images to train autonomous vehicles mainly because of my background in robotics and Bernardo’s in optimization,” said co-founder Antoni Rosinol. “But we quickly realized we were too late; that moment had passed. What finally clicked, especially inside companies, was a low-code platform that could connect internal data sources with large language models, which were just emerging.” That pivot—from a robotics-adjacent project to enterprise AI agents—coincided with the launch of ChatGPT, which the founders credit as both a catalyst and development tool. “This company was built by AI, for AI, and powered entirely by AI,” Rosinol added.
