EndorsedendorsedOngoing

Staff Augmentation for FullCourt AI — iOS App & AI Pipeline

Services Covered:

Staff AugmentationMobile Application Development
Project hero — replace with case study imagery
Industry
Industry

Information Technology

Duration
Duration

79 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 January 2020

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
75/100
Good

Project Capability Score (PCS) estimates how capable ScrumLaunch 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

FullCourt AI

mapSan Francisco, United States of America

Project Summary

ScrumLaunch augmented the client's internal engineering team to provide ongoing iOS (Swift/SwiftUI) development, backend AI/neural-network development on AWS using Python and TensorFlow, QA, and UI/UX design. They filled six roles across product ownership, iOS, ML/AI, QA, and design and worked as a consolidated scrum team with the client. Their engagement helped the client reach quicker milestones and support user growth goals ahead of fundraising.

Key Challenges

  • Need for ongoing iOS development (Swift)
  • Need for backend AI/Neural Network development using AWS and Python
  • Need for QA and UI/UX design support

Project Deliverables

  • iOS mobile application development
  • Backend AI/Neural Network pipeline
  • QA engineering and testing
  • UI/UX design
  • Staff augmentation (six filled positions)

Project Solution

ScrumLaunch was selected via referral and augmented the client's internal engineering team to provide ongoing iOS development and backend AI work. They contributed using SwiftUI and a Composable Architecture on the front end and AWS, Python, and TensorFlow in the backend, and they supplied QA and UI/UX design resources. The vendor filled six positions across product ownership/scrum master, iOS, ML/AI, QA, and UI/UX design and integrated into the client's scrum process.

Project Outcome

  • Filled key development roles enabling quicker milestones and progress toward user growth goals during fundraising
  • Operated as a consolidated scrum team with strong project management and well-organized Trello boards
  • Demonstrated strong startup/growth-stage execution and processes

Platforms

  • MobileMobile

Tech Stack

  • iOSiOS
  • SwiftSwift
  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • TensorFlowTensorFlow
  • PythonPython

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Thanks to ScrumLaunch's efforts, the client was able to complete their development team's key roles, which helped them progress quicker in their project. The team worked together with the internal staff and they had great teamwork as well as an organized process.

Ryan Jarvis

VP of Engineering

Note: This endorsement is based on publicly available client feedback from external review sources.

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