Research
Who we are
We are a team of AI researchers and engineers formerly from companies such as Meta AI, Amazon AGI, and Google. Previously, our team has worked on AI research spanning LLM evaluation, fairness, alignment, and embodied agents
Foundational Research for Foundational AI
Deep Research
Understanding and reasoning over large semantic datasets
Multi-Turn Interaction
Enforcing multi-step workflows and supporting dialogue between the user and the agent
Long-Horizon Tasks
Developing agents to take on real-world tasks on the horizon of weeks, months, and even years
Memory
Increasing agentic memory with context windows and other tooling
Research Work
Research Focus Areas
We value realism, diversity, and scalable difficulty in our environments. We set up scenarios with real-world rules, data, tools (actions), and rewards – iterating on complexity as we go.
We experiment with new RL techniques for long-horizon capabilities across domains with a focus on tasks that would take a human being weeks, months, or even years to complete.
We explore memory, knowledge, and behavior patterns unique to agents. We learn how this is similar to or different from the ways humans process information.
Latest Updates
Concrete benchmarks, environments, and methodologies built directly from our research
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