endorsedOngoing

Content Platform and Manufacturing Monitoring (IoT) Development

Services Covered:

Website Development • IoT Development • Embedded Software Development • AI and Machine Learning • Custom Software Development

Industry

Software Development

Duration

105 months

Budget

Confidential

Start Date

1 November 2017

Team Size

Confidential

Engagement Model

Onshore

Project Capability Score (PCS)

68/100

Good

Project Capability Score (PCS) estimates how capable Webamboos 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

ETA2U

Romania

Project Summary

Webamboos developed an arts-and-culture content dissemination platform and was later retained to provide ongoing full-time development resources. They built a monitoring solution for manufacturing machines that combined embedded/IoT hardware with web-based analysis and a machine-learning algorithm to determine machine performance. The vendor demonstrated strong technical expertise in MongoDB and React and reliable communication.

Key Challenges

Add value through custom software solutions alongside delivered hardware
Build a platform for arts and culture content dissemination that supports user uploads
Develop a monitoring solution for manufacturing machines requiring embedded/IoT hardware, data gathering, and machine-learning analysis

Project Deliverables

Content dissemination platform for arts and culture (user login and dynamic content upload)
Monitoring software for manufacturing machines
IoT nodes with custom hardware for data collection
Web interfaces for analysis and data gathering
Machine-learning algorithm for sensor data analysis

Project Solution

The vendor developed an arts-and-culture content dissemination platform (with user accounts and dynamic content upload) and was later retained under a broader collaboration to provide full-time development resources. They designed and implemented a monitoring software for manufacturing machines that combined embedded development and IoT nodes with web development for data gathering and analysis, and they implemented a machine-learning algorithm to parse sensor values and determine machine performance. The engagement included a designated account manager and a technical project manager from the vendor side.

Project Outcome

The arts and culture platform was delivered on time and met the university's requirements
The vendor successfully implemented a machine-learning algorithm that solved a problem the client had struggled with for 1.5 years
Improved project management and communication via Kanban and Jira resulted in effective collaboration

Platforms

Tech Stack

MongoDB
React.js

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“After positive results on their first project, webamboos won a long-term contract due to their strong expertise. After the company struggled with a problem for over a year, webamboos developed yet another helpful solution. The talented team offers reliability and good communication.”
Ionut Tepeneu
CTT Director
Date: 04/09/2019