SupremeTech Co., Ltd.
visit site- Undisclosed
- 50 - 249 employees
- Da Nang, Vietnam
SupremeTech Co., Ltd., a midsize website development company, is headquartered in Da Nang, Vietnam. Founded in 2019, the team offers web development, mobile app development, e-commerce development, Artificial Intelligence, and more.
Client Insights
Industry Expertise
45%
20%
10%
5%
5%
5%
5%
5%
Client Size Distribution
Small Business (<$10M) 35%
Midmarket ($10M - $1B) 50%
Enterprise (>$1B) 15%
Common Project Size
$10K-$49K 2 projects
Clients
This provider has not added their key clients.
Highlights from Recent Projects
SupremeTech Co., Ltd. was hired by Enlyt, an AI utilization and DX support company, to assist in software development. The CEO of Enlyt found SupremeTech through a referral and chose them due to their great cultural fit. A team of 2-5 employees from SupremeTech worked on the project, primarily communicating through virtual meetings. They developed software with multiple functionalities, including a management portal, user registration, and account optimization.
SupremeTech Co., Ltd. was engaged by Search Co., Ltd., an outdoor advertising media company, to update their analytics dashboard. The president of Search Co., Ltd. found SupremeTech through a referral and selected them due to their high ratings, budget-friendly pricing, cultural fit, and alignment with company values. A team of 6-10 employees from SupremeTech worked on the project, updating the OOH Analytics, an outdoor advertising viewer data visualization service. They also linked special sensors and location information big data with the API and reflected it on the dashboard.
SupremeTech Co., Ltd. was contracted by a healthcare company specializing in automated complementary care to finalize their MVP. The CEO of the healthcare company found SupremeTech through a referral and chose them because their company values aligned. A team of 2-5 employees from SupremeTech worked on the project, implementing the final stages of an Agentic RAG that processes medical research, reasons through findings, and provides safe recommendations. They overcame key challenges, including AI output consistency, reaching an accuracy rate of 97%, and successfully implemented a prompt-as-test-case methodology for large dataset testing.