Mobile App Development for AI Precision Skin Health SaaS
Services Covered:

Industry
Artificial Intelligence and Machine Learning
Duration
2 months
Budget
Confidential
Start Date
1 October 2023
Team Size
1-5
Engagement Model
Offshore
Project Capability Score (PCS)
81/100
Strong
Project Capability Score (PCS) estimates how capable Roro is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
Confidential
Project Summary
Roro developed a mobile app for an AI-powered precision skin health SaaS solution, building the app in TestFlight, producing a demo video, and providing branding and UX. The team integrated the client's tech and diagnostics stack and supported algorithm and DNA reporting features. The client praised Roro's communication, speed, and high-quality deliverables.
Key Challenges
- Build the mobile app
- Integrate and layer the tech and diagnostics stack
Project Deliverables
- Mobile app (TestFlight)
- Demo video
- Integration of tech and diagnostics stack
- Branding and UX
- Algorithm development
- DNA reporting feature
Project Solution
Roro built the client's mobile application in TestFlight, produced a demo video, delivered branding and UX work, and integrated the client's technology and diagnostics stack. The vendor supported algorithm work and implemented a DNA reporting feature, working with a small team (2-5 people) and communicating via virtual meetings and messaging.
Project Outcome
- High client satisfaction with reliable, high-quality work
- On-time delivery and quick responsiveness to client needs
Platforms
Mobile
Tech Stack
iOS
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Roro has been reliable and easy to work with. They have great communication skills and are smart guys. Their work is very efficient and they deliver high-quality work. Moreover, they respond to the client's needs very quickly.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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