Database

Startups

Main Industry
Internet Services
Main Product/Service
● Data Storage: Microsoft SQL Server, Cloudera Data Platform (HDFS, HBase, Ozone)
● Data Integration: Apache Airflow, Apache Hive, Apache Spark
● Model Development: Cloudera Machine Learning
● Data Visualization: Power BI Service
● Data Governance: Ataccama One, Azure Purview
● Data Quality: ATHEMASTER CO., LTD. DQSentry
● AI Services: Azure AI, Azure AI Search
● Automation: GitLab
The content above was translated by Ai
Founded Year
2015
Unified Business No.
24969578
Status
Active
Number of Employees
30
Total Paid-in Capital
23,292,000 (NT$)
Location of Company
Taiwan , Taipei City
Company names, registration status, legal representatives, founding years, paid-in capital, registered addresses, and other details are sourced from business registration records maintained by Taiwan’s Administration of Commerce, Ministry of Economic Affairs. Exit status includes Emerging Stock Board listings, M&A, and IPOs. Information on overseas expansion is self-reported by startups. Note 1: FINDIT compiles company information from public and other sources for reference and does not serve as a point of contact for the companies listed. Note 2: Some company profiles and product/service descriptions are translated using AI and provided for reference only. In case of discrepancies or ambiguity, the original text prevails.
About the Company
Established in 2015, ATHEMASTER CO., LTD. is a leading brand in comprehensive data services in Asia, discovering clients' business problems through data thinking. The founding team possesses diverse professional backgrounds, assisting enterprises in integrating internal data services with comprehensive thinking and perspectives, providing appropriate solutions, and effectively resolving the issues of data product positioning and cross-departmental communication faced by enterprises when entering the field of big data to achieve digital transformation. In 2024, the company launched the brand-new data quality product "Athemaster DQSentry" to help enterprises control real data quality, produce enterprise data into data products with higher business value such as enterprise-exclusive large language models, and accelerate the process of AI digital transformation.


The content above was translated by Ai
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