Significant reduction in MVP
roll out timelines through
portable web apps (PWA'S) and
about 45% reduction in costs


For An African Venture In Healthcare

Healthcare

Client Profile

Our client aims to reach every African household with a bouquet of comprehensive healthcare services.
Our solution aims to tackle the lack of availability of medical services in the region through our machine-learning enabled diseases prediction services, helping users preempt serious medical situation in time.

Business Scenario

After understanding client requirements through initial meetings, we convened upon developing ML algorithm for disease prediction, setting-up end-to-end product development life cycle. Rapid feature deliveries as well was expected from Prowerse to make MVP more appealing to early adopters.

We knew that client was on a tight budget with limited timeline and was then dealing with multiple freelancers with negligible control and coordination between them and that with our client.

Prowerse Approach

PROWERSE WORKED ON FOUR PARALLELS TO SPEED UP EARLY MV PRELEASE

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Tools:
python
Technologies:

Customer Review

Prowerse is best suited for emerging brands eying quality deliveries at optimum costs. Glad we found them. Can't speak higher of any other brand.

Value Propositions

Rapid Productization: Shortened release cycles by 75% to 1 week to delivery freshly build features in MVP
Cost Reduction: About 45% reduction in engineering costs
Enhanced Delivery Efficiency: Helped client present more APT business case in front of investors and early adopters

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