Episode Intelligence is building the data-efficiency layer for robot learning.

Robot learning is not bottlenecked by model size alone. It is bottlenecked by the quality of physical experience.

Today, that experience exists as fragments — raw videos, teleoperation traces, demonstrations, simulation rollouts, failures, recoveries, and deployment logs. Scaling them naively produces more data, not more intelligence.

We believe robots will learn faster when physical experience is represented as episodes. An episode is the structured unit of robot learning: the goal, context, objects, actions, state changes, failures, recoveries, interventions, and outcome of a single interaction.

Our goal is to make robots learn more from fewer real-world interactions.