MVP delivered in 3 weeks , enabling early testing with target customers
The Challenge
Hospitality businesses face a content bottleneck:
The founders of Dunya AI wanted to validate an MVP that would:
High production costs โ agencies charge thousands per video
Slow turnaround โ campaigns miss key seasonal opportunities
Consistency issues โ logos, colors, and brand voice often get lost
Our Approach
Our team partnered with Dunya AI to design and build the first version of their platform โ fast.
Timeline: Delivered a functional MVP in just 3 weeks (mid-August โ early September)
Tech stack: Django Ninja (backend), React Native (mobile), AWS (cloud infrastructure)
Hotel owners can request and discuss video content in real-time
Seamless communication between clients and creators
The Outcome
MVP delivered in 3 weeks , enabling early testing with target customers
Chat-based request flow streamlined collaboration between hotel owners and the platform
Built a strong foundation for the next phase: end-to-end AI video generation inside the app
Positioned Dunya AI to attract early adopters and investor attention by demonstrating speed along with technical feasibility and market fit
Technologies Used
Timeline
- Requirements and architectureDiscovery
- Core feature implementationDevelopment
- Production deploymentLaunch