Behavioral alignment is the next frontier of AI
Agents learn judgment on the job
They have enough knowledge to do the work. What they lack is judgment, which humans learn on the job and don’t always write down.
We build worlds for agents to practice
Each one is modeled on a real working environment, where information is fragmented, user requests conflict, and not every requirement is stated.
We study what agents do
When an agent misses the point or cuts corners, we figure out why. Then we build the training data to correct it.
Research comes first
We are fundamental researchers and domain experts. Join us
Every domain asks for different judgment

AlignmentAlignment→Follow instructions and know when to push back.
CodingCoding→Ship a feature in code no one documented.
Knowledge WorkKnowledge Work→Make one decision from sources that disagree.
ScienceScience→Identify and explore the untested question.
Computer UseComputer Use→Get work done in software built for people.Research
Most research doesn’t lead to a breakthrough.
Experiments stall and results come back empty.
Each one rules something out.
Then one breaks through.
Featured research
View all research
Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL2026 · arXiv 2607.16204
MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments2025 · arXiv 2510.01353
TRAIL: Trace Reasoning and Agentic Issue Localization2025 · arXiv 2505.08638Come work at the limits of model behavior
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