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What is Runway?

Runway takes charge of your release management effortlessly, guiding you from the initial kickoff to the ultimate submission while completely removing the need for manual intervention. It integrates seamlessly with your favorite tools, giving you a clear view of the release progress and any challenges that may arise. You will be provided with a detailed release runbook that delineates task assignments and improves tracking capabilities. By identifying any potential blockers, you will gather valuable insights that ensure your release is both confident and timely. With Runway, you can design interactive checklists that detail task owners, while we manage reminder notifications through Slack. Our integration covers your entire toolchain, enabling you to keep an eye on release status from a single browser tab, eliminating the need to juggle multiple tabs. Your team will receive notifications for key milestones throughout the release process, such as kickoffs, build results, App Store review statuses, and more. Furthermore, Runway automatically organizes your releases, filling in any missing versions and labels for Jira tickets across various projects. Just set your release timeline, and let Runway handle every aspect from the kickoff to the final launch, ensuring a smooth and efficient workflow. This streamlined strategy not only helps teams maintain focus on delivering high-quality software but also significantly reduces the stress of managing numerous tasks manually, leading to an overall enhancement in productivity.

What is GWM-1?

GWM-1 is Runway’s advanced General World Model built to simulate the real world through interactive video generation. Unlike traditional generative systems, GWM-1 produces continuous, real-time video instead of isolated images. The model maintains spatial consistency while responding to user-defined actions and environmental rules. GWM-1 supports video, image, and audio outputs that evolve dynamically over time. It enables users to move through environments, manipulate objects, and observe realistic outcomes. The system accepts inputs such as robot pose, camera movement, speech, and events. GWM-1 is designed to accelerate learning through simulation rather than physical experimentation. This approach reduces cost, risk, and time for robotics and AI training. The model powers explorable worlds, conversational avatars, and robotic simulators. GWM-1 is built for long-horizon interaction without visual degradation. Runway views world models as essential for scientific discovery and autonomy. GWM-1 lays the groundwork for unified simulation across domains.

Media

Media

Integrations Supported

App Store
Bugsnag
CircleCI
ElectroNeek
Figma Weave
Firebase
GitHub
GitLab
Grok Bot
HubSpot Customer Platform
Jenkins
Jira
Monet AI
PXZ AI
SecureSky
TestRail
Travis CI
Velt
VidFlux AI

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Windsock Labs

Date Founded

2020

Company Location

United States

Company Website

www.runway.team/

Company Facts

Organization Name

Runway AI

Date Founded

2018

Company Location

United States

Company Website

runway.com/research/introducing-runway-gwm-1

Categories and Features

Mobile App Testing

Not specified

Categories and Features

AI Models

Not specified

AI World Models

Not specified

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