At Imbue, we develop AI systems that can reason and code—imbuing computers with intelligence and human values so they can help us accomplish larger goals in the world.
To do this, we train foundation models optimized for reasoning. Today, we apply our models to develop agents that we use internally, starting with agents that code. Ultimately, we hope to release systems that enable anyone to build robust, custom AI agents that put the productive power of AI at everyone’s fingertips.
We're building AI agents so computers can understand our goals, communicate proactively, and work for us in the background. Our north star: to build truly personal computers that thin the barrier between idea and execution, giving us freedom, dignity, and agency to do what we love.
Current AI systems are limited in their ability to complete tasks for us. While we expect capabilities to advance rapidly over the next few years, much remains to be done before AI agents can help us achieve larger goals in a way that's robust, useful, and safe.
We believe reasoning is the primary blocker to effective AI agents. Robust reasoning is necessary for effective action. It involves the ability to deal with uncertainty, to know when to change our approach, to ask questions and gather new information, to play out scenarios and make decisions, to make and discard hypotheses, and generally to deal with the complicated, hard-to-predict nature of the real world.
In order to create reasoning models that provide a robust foundation for AI agents, we take a “full stack” approach:
Read about our approach in more detail here.