It has managed to raise so much money so quickly because it’s an AI startup working on new models with an impressive founding team. Charles Kantor, the startup’s co-founder and CEO, was a university researcher at Stanford.
The four other co-founders all previously worked for DeepMind, the AI company owned by Google: Karl Tuyls was a research director at DeepMind, where he worked on game theory and multi-agent research. Laurent Sifre was a principal scientist who contributed to many of DeepMind’s flagship projects, such as AlphaGo, AlphaFold and AlphaStar. More recently, he also worked on Google’s Gemini and Gemma AI models. Daan Wierstra, who will become H’s chief scientist, was a founding member at DeepMind. And, finally, Julien Perolat worked on game theory and multi-agent research at DeepMind.
As you may have guessed, H is going to work on AI agents: automated systems that can perform tasks that are traditionally performed by human workers. The company’s minimalistic site states that H is working on “frontier action models to boost the productivity of workers.”
