PHI-Integration, an Indonesian software company that provides data analytics and management services, has announced raising an undisclosed amount of seed funding from East Ventures and Skystar Capital.
First launched in 2005 as a data warehouse and consulting company, PHI-Integration offers data warehouse, business intelligence, data integration, professional consulting and training services.
With the backing of the two VCs, the company says it will develop a new sub-service called Linkr to help companies refine their raw data.
“We believe that clean data will help corporates achieve much better analytics, machine learning utilization, and smarter AI. Most importantly, it helps out business decision makers make a faster and sharper move. Through several appointed channel partner, Linkr will help data-driven companies in tackling down the most hardest, most intense, most repetitive and most labor-intensive problems that they faced on daily basis, which is cleaning up dirty data and find duplicate data,” said PHI-Integration Business Development Director and Co-Founder Victor Gunawan.
Commenting on its investment in PHI-Integration, East Ventures Managing Partner Willson Cuaca said, ”PHI Integration’s focus on helping companies to have a cleaned and informative data is known as one of the toughest challenges in the industry. As we have seen multiple examples of how companies can create an impactful decision using data, we believe PHI Integration has a place to play a pivotal role in data management industry.”
East Ventures recently invested in Switzerland-based cryptocurrency wallet startup BRD and also joined Skystar Capital in leading a $5-million Series A round for Indonesian peer-to-peer startup Julo.
PHI-Integration has also announced its collaboration with Skystar Ventures (Universitas Multimedia Nusantara) to introduce a data-first online education platform called DQLab.
The platform aims to address the scarcity of data literate talent by enabling students, young professionals, and individuals to learn about data analytics and its methodology with real business cases and familiar industry data sets. DQLab will cover materials from basic data management and data science to Artificial Intelligence and Blockchain.