CASE STUDY
A generative AI platform enabling brands and communities to co-create digital characters, immersive worlds, and interactive campaigns.
4x
Increase in audience engagement
60%
Reduction in creative production time
45%
Improvement in audience participation

Entertainment brands with strong intellectual property struggled to scale audience engagement and content creation across fragmented digital platforms. Traditional campaign production workflows were expensive, slow, and difficult to personalise for online communities.
High costs associated with digital campaign production
Difficulty maintaining consistent community engagement
High-volume pain points
Wide Worlds transformed passive audiences into active creators, helping brands scale engagement while reducing content production overhead.
Week 1–2
Brand ecosystem research, audience analysis, and generative AI workflow planning.
Week 3–5
Development of AI content generation systems, creator engagement tools, and campaign infrastructure.
Week 6–8
Platform integrations, moderation systems, and analytics dashboard deployment.
Week 9+
Continuous optimisation, creator ecosystem expansion, and AI model refinement.
Frontend
React, NextJS
Backend
PostgreSQL
AI Infrastructure
OpenAI, AWS
Community Systems
Campaign and reward engines
Analytics
Performance dashboards
Integrations
Social platform integrations