How Miro Produced Its Keynote Video for Four Global Markets with Runway

When Miro needed an opening video for its Canvas26 event across four cities, the brand team turned to Runway rather than organizing a traditional shoot. The result was a fully AI-generated intro video, localized for each market, produced without a camera crew, location logistics, or licensed stock clips. The project stands as one of the more detailed public examples of a brand using generative video tools end-to-end for a high-visibility deliverable.

The core appeal for Miro's team appears to have been speed and flexibility. Localizing video content for multiple markets typically means either reshooting with different talent and backdrops, or settling for generic footage that lacks specificity. Runway's generative approach let the team create visually distinct versions for each city without multiplying production costs in proportion to the number of markets. The team reported cutting production time in half relative to what a conventional workflow would have required.

Runway, developed by Runway AI, has positioned itself as a tool for professional creative teams rather than casual users. Its Gen-3 and related models support text-to-video and image-to-video generation at a quality level that has made it viable for broadcast and marketing contexts. Miro's use case - a polished keynote opener with no room for rough edges - puts that quality claim to a practical test in front of a live audience.

The case is notable less for the technology itself than for the workflow it describes. Miro's brand team, working internally, owned the project from concept to delivery. There was no external production house, no casting, and no post-shoot localization process. As generative video tools continue to mature, this kind of in-house, asset-light production model is likely to become more common for marketing and event content - particularly for teams that need to move quickly across multiple regions.