Establishing AI Models and Customized Support Platforms for Enterprise-Specific Information

This system analyzes information necessary for startup support and growth in real time and provides customized data.

negara

Korea Selatan

tingkat pemerintahan

Nasional

linimasa

1–2 tahun

biaya proyek

Akan Ditentukan

organisasi

Witty Co., Ltd.

skala dampak

Percontohan/tim kecil

kategori

Pelayanan publik dan pengalaman warga

jenis teknologi

Analitik Prediktif

Overview

The information on public support programs available to startups is vast, but there are challenges in effectively navigating and utilizing this information. As a result, many entrepreneurs miss out on suitable support opportunities or collect information inefficiently. This project aims to develop a customized AI model based on public data using AI and crawling technologies, and to build a SaaS platform enabling companies to more easily access the support they need.

Project description

This system analyzes information necessary for startup support and growth in real time and provides customized data.

AI-Based Customized Support Program Recommendation System
- Analyzes public data to recommend customized support programs tailored to each company. Automatically guides businesses to appropriate support programs reflecting their industry, growth stage, and financial status, providing optimal support opportunities through machine learning-based data pattern analysis.
Public Data Crawling and Automated Analysis
- It automatically collects support program information from over 60 public data channels daily, refining and analyzing it to provide customized offerings for each company. Businesses receive necessary information automatically without needing to search for individual data points themselves.
Operation of a SaaS Platform for Startup-Tailored Support Programs
- A SaaS platform was established to enable companies to view customized support program information at a glance. It provides features such as managing support programs by deadline, keyword filtering, and automated program recommendations, helping startups utilize support programs more efficiently.

Key technological features

AI-Based Data Analysis and Recommendation Model: Recommendation of Customized Support Programs for Businesses Using Public Data
Crawling and Data Loading System: Automated collection and refinement of information from over 60 public data channels
Startup-Tailored Support Program SaaS Platform: Provides customized information per company and automates support program applications

Expected outcomes

This system improves information accessibility for startups and increases startup survival rates by providing tailored data. It is also expected to maximize the value of public data utilization, thereby fostering a more efficient startup ecosystem.

Before and after implementation (AS-IS vs TO-BE)

Before (AS-IS)	After (TO-BE)
Lack of information tailored to my company, difficulty allocating resources, exponentially increasing startup budgets, and persistent high business failure rates.	Enables corporate survival management by identifying future risk factors through information collection, processing, analysis, and prediction

Launch year: 2024

Attribution

Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.1, https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=28997&parentSeq=29021