AI Transformation
- AI for recommendations, personalization and audience insights
- Automation for content operations and reporting
- AI-assisted content tagging and metadata

Entertainment teams call us when the date is set and the team isn't. We care about what the audience sees the moment they open the app, and we plan for the night the traffic peaks.
AMC Theatres gave itself one year to bring assigned seating with real-time seat locking to Android. A tech lead and three senior engineers built it alongside AMC's team and launched on time. We also helped HQ Trivia ship key features and live streaming.
Recommendations and personalization that improve the experience instead of cluttering it. Audiences spend more time with content that fits them.
Talent ready to contribute in the first sprint, which matters when the date is already on the calendar. The weeks before launch go to the launch, not to onboarding.
We build streaming, ticketing and live consumer apps for entertainment tech teams, with senior talent from Latin America. We also lead AI Transformation projects for personalization and audience insights.
Yes. Both are already in production in apps we have built.
We plan for the highest number of people using the app at the same moment, not the monthly average. We also decide ahead of time which features stay on if traffic goes past the plan, so fans can still buy and watch on the busiest night.
Yes. A discovery sprint on your viewing and engagement data ends in a recommendation or personalization prototype your audience can test.
Yes. Discovery defines what the audience should feel and do, then one team designs and builds the app, web or TV experience.
When do you go live, and what has to work that night?