Forming a consortium with client companies to promote document AI-based AX support
Synapsoft has been finally registered as a candidate for the National Information & Communication Technology Promotion Agency (NIPA)'s '2026 AX One-Stop Voucher Support Project.' The company plans to respond to the demand for enterprise-wide AI transformation by leveraging its document-based AI solutions.
Synapsoft disclosed the relevant facts on April 9. This project is designed to support AX for small and medium-sized enterprises (SMEs) and large corporations by providing integrated support for AI, cloud, and data in the form of vouchers, and participating companies are selected through the recruitment and screening of a pool of supplier candidates.
The company explained that it passed both corporate capability and technical verification during the supplier candidate recruitment process. It stated that key evaluation factors included Document AI solutions incorporating proprietary data learning and prompt engineering, implementation track record, financial stability, and specialized development personnel.
Through this project, Synapsoft plans to establish an AI work environment tailored to the needs of client companies. The explanation is that the focus is on increasing work productivity and improving the accuracy of deliverables by converting corporate document assets into a searchable and usable knowledge format.
This project is not structured so that a supplier receives support independently; instead, a supplier and a client must form a consortium and apply for a separate project. Accordingly, Synapsoft plans to recruit client companies that will utilize its solutions and provide joint support ranging from business plan formulation to matching.
"Inclusion in the supplier candidate pool is the result of recognition for our company's Document AI technology and business execution capabilities," said Synapsoft CEO Jeon Kyung-hun. "We will collaborate with companies considering the adoption of AI transformation to build an environment applicable to actual work environments."