International organizations forecast Korea’s economic growth rate to be less than 2%
Companies are concerned about overcoming the low-growth crisis through austerity management.
Attention from startups such as overseas fee reduction and accounting management
As the economic growth rate is expected to slow to around 2% next year, companies are struggling to come up with ways to overcome the crisis, considering sluggish domestic demand, increased labor cost burden, and unstable internal and external situations.
In fact, the Asian Development Bank (ADB) in its announcement of the ‘December 2024 Asian Economic Outlook’ on the 11th adjusted Korea’s economic growth forecast for next year to 2%, 0.3% lower than last September (2.3%). Korea’s economic growth forecast for next year announced by eight major global investment banks (IB) was also revised downward by 0.2% from last month to an average of 1.8%.
In this economic trend, companies are turning their attention to services that can reduce costs or simplify and optimize work procedures. Accordingly, startup services are active to help companies tighten management by utilizing technology such as reducing overseas transaction fees and improving human resource efficiency.
According to related industries on the 21st, Sentbe’s corporate overseas remittance and payment service ‘Sentbiz’ is gaining popularity among companies and related business personnel who require frequent overseas remittances and payments/settlements. More than 900 corporate customers are using it.
We provide services with fees that are up to 70% lower than the high fixed costs and currency exchange costs incurred when sending money overseas using existing banks. Centbiz has no receiving or brokerage fees and has low currency exchange and fixed fees. Fast and safe remittance is possible within up to 1 day.
Additionally, if you register your corporate documents only once, you can remit money without additional registration. By simply registering the recipient information in Excel, you can easily and conveniently carry out large remittance tasks. The time and cost invested in related work can be reduced and efficient human resources management is possible.
All risks that may arise during remittances and payments are thoroughly managed through the Legal & Compliance Division, an organization mainly composed of lawyers specializing in domestic and foreign financial fields. We also operate a dedicated corporate CS (customer service) organization that can immediately respond to customer inquiries.
Granter is an artificial intelligence (AI) service that comprehensively manages a company’s financial accounting and helps companies manage their accounting efficiently. What differentiates it from existing accounting management solutions is the simplification of the introduction and installation process.
Granter is a SaaS (software as a service) service that applies cloud technology, allowing you to easily and conveniently handle work using both web or mobile applications (apps) in an environment with Internet access.
Previously, the person in charge had to manually check the deposit and withdrawal details for each account or card and classify the appropriate account subjects. By using Granter, payment details within the company can be checked in real time, deposit and expenditure data are analyzed by AI, and repetitive tasks are greatly reduced by automatically classifying them by type.
A variety of tasks, including tax invoices and electronic payment-related tasks, can be handled easily and conveniently. By linking Hometax, you can check the tax invoice issuance details in bulk, and it also provides the function of issuing tax invoices on the granter, sending them to Hometax, and sending them to business partners.
OaaSIS, developed by Omelette, a KAIST faculty start-up, is an AI solution that determines optimal operation methods in industrial sites. In particular, it is useful for work distribution and flow efficiency, which is one of the core competencies of the distribution and logistics industry.
Oasis builds an optimized solution for a given problem through repetitive reasoning and calculations through AI. After the logistics company enters the list data to be delivered and then inputs weights for each goal such as ‘minimize delivery time’, ‘minimize travel distance’, and ‘comply with delivery time’, delivery route is provided based on this.
We conducted a proof of concept (PoC) of core technologies with food delivery platforms, courier companies, and pharmaceutical delivery companies, and plan to release it in the form of a software package that can be used by all logistics companies in the future. In addition to the logistics field, we plan to apply it to various industrial fields, such as optimizing protein molecule composition for new drug development and optimizing semiconductor design.
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