經濟體股份有限公司
Update：2026/09/15
Industries
Main Industry
Lending and Investments
Main Product/Service
Enterprises provide their operational data (via third-party platforms such as Google Analytics) and financial data to 經濟體股份有限公司's PezzaLoan and PezzaFund platforms. Based on the acquired data, 經濟體股份有限公司 evaluates the borrowing customer's risk level and interest rate through an AI risk model. Once the borrowing enterprise agrees to the interest rate and terms, 經濟體股份有限公司 matches them with funding sources (leasing companies, angel investors, and high-net-worth individual investors).
At the same time, 經濟體股份有限公司 cooperates with core enterprises in supply chain finance to evaluate the risk level and interest rate of borrowing customers through the AI risk model, based on the transaction data between the core enterprises and their upstream and downstream partners.
Our innovation lies in the fact that traditional financial institutions primarily rely on collateral provided by enterprises to make lending decisions for small and medium-sized enterprises (SMEs). This is not only because physical assets themselves possess market reference value, but also because they serve as an important cornerstone for the operations of traditional industries, such as manufacturing. However, many industries have now transitioned to using online channels as their primary sales avenue, such as e-commerce. The core value of these enterprises no longer relies on physical assets, but rather on virtual data such as ROAR (online advertising effectiveness) and MAU (active customers). These key indicators are more effective for evaluating the future operational status of the enterprise. PezzaLoan determines the customer's credit risk through AI model analysis based on the customer's operational data and actual performance over the past two years. It then assesses the enterprise's borrowing interest rate according to its risk profile and matches them with funding sources on the platform. Because the traditional financial industry struggles to grasp the repayment capabilities of SMEs, it primarily relies on the land, factories, and equipment owned by the enterprises. Consequently, emerging industries that use the internet as their primary sales channel find it difficult to obtain loans.
Meanwhile, PezzaFund is a one-stop solution that addresses the challenges investors face, such as the difficulty of finding high-quality investment targets before investing and the burden of continuous management after investing. All relevant information can be accessed and resolved in one place on the platform.
(The content above was translated by AI.)
At the same time, 經濟體股份有限公司 cooperates with core enterprises in supply chain finance to evaluate the risk level and interest rate of borrowing customers through the AI risk model, based on the transaction data between the core enterprises and their upstream and downstream partners.
Our innovation lies in the fact that traditional financial institutions primarily rely on collateral provided by enterprises to make lending decisions for small and medium-sized enterprises (SMEs). This is not only because physical assets themselves possess market reference value, but also because they serve as an important cornerstone for the operations of traditional industries, such as manufacturing. However, many industries have now transitioned to using online channels as their primary sales avenue, such as e-commerce. The core value of these enterprises no longer relies on physical assets, but rather on virtual data such as ROAR (online advertising effectiveness) and MAU (active customers). These key indicators are more effective for evaluating the future operational status of the enterprise. PezzaLoan determines the customer's credit risk through AI model analysis based on the customer's operational data and actual performance over the past two years. It then assesses the enterprise's borrowing interest rate according to its risk profile and matches them with funding sources on the platform. Because the traditional financial industry struggles to grasp the repayment capabilities of SMEs, it primarily relies on the land, factories, and equipment owned by the enterprises. Consequently, emerging industries that use the internet as their primary sales channel find it difficult to obtain loans.
Meanwhile, PezzaFund is a one-stop solution that addresses the challenges investors face, such as the difficulty of finding high-quality investment targets before investing and the burden of continuous management after investing. All relevant information can be accessed and resolved in one place on the platform.
(The content above was translated by AI.)
Founded Year
2018
Unified Business No.
50882274
Status
Closed
Number of Employees
0
Total Paid-in
Capital
5,000,000 (NT$)
Location of Company
Taiwan
, Taipei City
Information such as company name, company status, responsible person, year of establishment, paid-in capital, and registered address is sourced from the Commercial and Industrial Registration Office of the Ministry of Economic Affairs; listing status includes emerging stock, M&A, and IPO; overseas development is provided by the startup itself.
Notice: This data is compiled from public sources for reference only. We have no direct affiliation with the company and are not their contact person.
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About the Company
GDP takes "Funding as a Service" (FaaS) as its mission, focusing on financial service innovation. Based on big data, blockchain, and AI technologies, it assists both investment and financing parties in quickly, easily, and securely managing and obtaining funds. Its service, PezzaLoan, differs from banks and general private leasing industries; enterprises do not need to obtain financing through traditional financial statements, credit ratings, and collateral. Through technologies such as big data and AI models, it transforms valuable data assets into simulatable risk indicators, enabling enterprises to build credit with data and making corporate financing simpler and more transparent. Meanwhile, PezzaFund is dedicated to assisting angel investors or fund managers, providing a one-stop fund management platform to quickly and easily find suitable startups, and assisting in the integration of pre-investment matchmaking, investment risk assessment, post-investment management, and exit services.
Currently, it has subsidiaries in Asia and Europe, such as Japan, Singapore, Taiwan, the Philippines, and Estonia. The team is composed of members from big data, artificial intelligence, blockchain, and well-known domestic and foreign banks, and has already secured international-class investment.
(The content above was translated by AI.)
Currently, it has subsidiaries in Asia and Europe, such as Japan, Singapore, Taiwan, the Philippines, and Estonia. The team is composed of members from big data, artificial intelligence, blockchain, and well-known domestic and foreign banks, and has already secured international-class investment.
(The content above was translated by AI.)
