Distribution
Different sensors.
Your training data comes from one sensor setup. Your deployed system uses another.
Camera A / Wide view
Camera B / Narrow view
Generate the robotics data you are missing with world models.
Adapt to different sensors. Cover more scenarios. Prepare for rare events.
Fill your data gapsClose the gap between training and deployment.
Coverage
More scenarios.
Your data covers a few environments and conditions. Deployment brings many more.
Daylight
Overcast
Work lights
Edge cases
Rare events.
Your data captures the everyday. Rare failures are harder to collect.
01 / Routine operation
02 / Unexpected reach
Conceptual illustrations, not validated training data.
How it worksSee rare-event examples.
Civilian drones / Conceptual video / 10 seconds
The landing zone changes
A child follows a ball into the landing area during a drone approach. A concept for exploring landing-zone awareness and interrupted descents.
Industrial robotics / Conceptual video / 10 seconds
The unexpected reach
A worker reaches into a robot arm’s workspace as it handles a component above a tray. A concept for exploring human interruptions during a handoff.
AI-generated concepts, not validated training data.
API / Coming soon
One capture in. Thousands of episodes out.
The rare-episode engine behind MurphyIsRight, as an API. Send a capture and an episode spec; get back thousands of episodes, at the scale a training run needs: agents, events, weather, lighting, and season, set inside the scene you already own. Access opens in stages. Leave an email and we will write once, when yours is ready.
A confirmation now, one email when access opens. No newsletter.