endorsedOngoingFront & Backend Dev for Machine Learning Platform
Services Covered:
Industry
Artificial Intelligence and Machine Learning
Duration
114 months
Budget
10K - 49K
Start Date
1 February 2017
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
78/100
Good
Project Capability Score (PCS) estimates how capable COAX Software 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
Fortay
Toronto, CanadaProject Summary
COAX Software developed the front- and backend of Fortay's machine-learning platform using ReactPHP for the frontend and Ruby/SQL for the backend. The engagement (started Feb. 2017) provides ongoing development and testing to expand the platform’s capabilities and enable revenue creation. The client reports 100% year-over-year growth and praises COAX for responsiveness and high-quality code.
Key Challenges
- Provide primary development and testing for the platform
- Expand the platform’s capabilities to meet market requirements and the roadmap
- Enable systems of revenue creation
Project Deliverables
- Frontend (ReactPHP)
- Backend (Ruby/SQL)
- Ongoing development and testing of the machine-learning platform
Project Solution
COAX was selected after references and a trial sprint and was engaged under an ongoing contract to provide primary development and testing. They develop the frontend using ReactPHP and the backend using Ruby/SQL, provide regular progress updates, and staff the project with a lead developer and QA tester augmented by 1–3 additional developers depending on sprint scope.
Project Outcome
- Fortay grew 100% year over year
- Consistently high-quality code and quick response times
- Ongoing collaboration with client-managed sprint project management
Platforms
Web
Tech Stack
React.js
PHP
Ruby
SQL
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
5 out of 5 starsTimeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“COAX’s platform has doubled user growth every year. Delivery of high quality code complements their quick response times.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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