Why Runway is eyeing the robotics industry for future revenue growth | TechCrunch

"We think that this ability to simulate the world is broadly useful beyond entertainment, even though entertainment is an ever increasing and big area for us,"

"It makes it much more scalable and cost effective to train [robotic] policies that interact with the real world whether that's in robotics or in self driving."

Runway spent seven years building visual-generating tools for the creative industry and released Gen-4 in March and Runway Aleph in July. Runway's world models simulate realistic versions of the real world and have become more realistic. Improvements generated inbound interest from robotics and self-driving companies seeking to use the models for training. The simulation capability enables scalable, cost-effective training of policies that interact with the real world. Companies use the models for training simulations because real-world training is costly, time-consuming, and hard to scale. Simulations allow testing specific variables and situations without altering real-world environments, providing substantial value even if not replacing real-world training.

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