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Suggestic Case Study

Improving patient outcomes and health. Suggestic is an iOS Application to Improve your health outcomes. It is a proactive personalized platform to deliver nutrition-related programs.

Suggestic

TECHNOLOGIES USED

Graphql
Java
Javascript
Kotlin
Restful

ENGAGEMENT MODEL

DEDICATED SOFTWARE DEVELOPMENT TEAM

WE HELPED SUGGESTIC BY OFFERING THEM:

Teravision helped Suggestic achieve their goals by:

  • - Talented engineers onboarded in two weeks
  • - Having a clear roadmap for Suggestic's success
  • - Stay ahead of their competitors by going to market sooner than the rest

The Challenge

Suggestic and Teravision started conversations in early 2020 and Victor Chapela, Suggestic’s CEO, mentioned that the challenge at the time was the possibility of missing time to market targets. The main reason was that the application was only developed for iOS devices and they already had commercial commitments to have an Android version by the end of 2020, and they lacked the in-house resources to accomplish their goal.

As such, they were looking for a Nearshore IT that could serve their needs based on a Fast Ramp-Up of Agile teams, alongside cost-effective resources.

Challenge
Solution

The Solution

Our team worked together in SCRUM format with Suggestic, using technologies such as Java & Graphql to enable our client’s need not only for fast and agile development times, but also for developing quality coding.

The Results

Their product was fully developed within the timeframe they needed
Through coding best practices, we managed to properly port the iOS version of the product to Android

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