GEM Corporation
visit site- $10,000+
- 250 - 999 employees
- Hanoi, Vietnam
Client Insights
Industry Expertise
30%
20%
20%
10%
10%
10%
Client Size Distribution
Small Business (<$10M) 10%
Midmarket ($10M - $1B) 65%
Enterprise (>$1B) 25%
Common Project Size
<$10K 1 project
Clients
- DNP
Highlights from Recent Projects
GEM Corporation successfully developed a cloud platform for an agricultural tech company aiming to enhance transparency and traceability in their supply chain. The platform illustrates the journey of agricultural products from growth to retail. GEM's team of 6-10 employees created a comprehensive system that records and visualizes the ecosystem while ensuring data privacy and security. With the installation of IoT sensors to track product journeys, the team managed a substantial amount of raw data by implementing a data lake. A dashboard was also developed to showcase outputs, enabling stakeholders to trace product transactions. The project was completed successfully, meeting all the client's requirements.
In another project, GEM Corporation was hired by Vortex Quantum Computing for front-end development and API integration. The company found GEM through an online search and chose them for their budget-friendly pricing. A team of 2-5 GEM employees was assigned to the project. The key deliverables were front-end development and API integration. The project was executed successfully, meeting all the client's expectations.
GEM Corporation also worked with an IT company to develop an advanced Mobile BI system. The system was designed to deliver real-time updates and analytical reports, enhancing the company's decision-making capabilities. The project also involved enhancing collaboration insights and streamlining workflow. The team from GEM successfully created a specialized app to manage and organize internal training activities, integrated it with the client's existing website, and provided detailed documentation and ongoing support. The project was a success, equipping the client with the necessary tools for informed decision-making based on accurate and timely data.