Imbue builds AI systems that can reason, in order to enable AI agents that can accomplish larger goals and safely work for us in the real world. To do this, they train foundation models optimized for reasoning. On top of their models, they prototype agents to accelerate their own work, seriously using them in order to shed light on how to improve the underlying model capabilities, as well as the interaction design for agents.


AI/ML

Research

Imbue

Kanjun Qiu

Jamie Simon

Nic Seo

Matt Boulos

Josh Albrecht

The Technical Staff at Imbue is responsible for developing and optimizing advanced AI models focused on reasoning. This team collaborates closely to prototype intelligent agents, conducting experiments that inform both model improvements and user interaction designs. Their work is crucial in advancing the capabilities of AI systems to effectively achieve complex goals in real-world applications.

Technical Staff

About

Team members