KPAS 2024 finalists' founders speak at the event on Oct. 17, 2024 South Korea’s major telecom company KT Corp. and the country’s leading financial newspaper The Korea Economic Daily have teamed up to scout out the country’s next unicorns with promising artificial intelligence technologies expected to innovate the country’s AI ecosystem.
At Korea Promising AI Startups (KPAS) 2024, jointly hosted by KT and The Korean Economic Daily on Thursday, 20 AI startup finalists were unveiled with great fanfare.
Through thorough reviews by venture capitalists and local AI industry experts, they were chosen for their technologies expected to create great synergy with other industries such as cloud and chip technologies and open new markets.
The startup finalists -- lauded to include Korea's next AI unicorns -- have estimated enterprise values ranging between 100 billion won ($73 million) and 700 billion won, and some of them are already actively leading digital transformation at various industrial sites in Korea.
AI SERVICE
Nearly half of the finalists offer AI services designed to empower other industrial processes through automation and prediction systems.
KPAS 2024 finalists (Screenshot captured from The Korea Economic Daily website) Ineeji offers AI programs that can improve efficiency across manufacturing processes and save energy.
Daim Research has developed an AI and digital twin technology-powered factory platform that enables autonomous logistics robot operation and management.
Datarise offers AI-powered data analytics and customer relationship management (CRM) services for financial and retail customers.
Imagoworks offers automated dental treatments using AI, computer-aided design (CAD) and cloud technologies, while Roen Surgical has developed Zamenix, an advanced flexible endoscopic surgical robot system.
KPAS 2024 finalists pose for a photo on Oct. 17, 2024 Nearthlab develops AI-controlled, autonomous drones, and its inspection and counter-unmanned aircraft systems are lauded for their excellent performance.
Hyper Accel is accoladed for its LLM processing unit (LPU), an AI chip designed for transformer-based LLM.
It is joined by two other AI chip-developing peers in the AI chip sector – MetisX, which develops a compute express link (CXL)-based memory chip needed for large-scale data processing such as AI big data, and Dnotitia, a vision language model developer, which is currently co-developing an AI-supported medical imaging analysis system with one of the country’s major university hospitals.
The 20 finalists of KPAS 2024, the first event of its kind, will receive support from KT and The Korean Economic Daily for fundraising, consulting services for technology development and commercialization, as well as marketing and promotion services.
Write to Joo-Wan Kim at kjwan@hankyung.com Sookyung Seo edited this article.
We use cookies to provide the best user experience. By continuing to browse this website, you will be considered to accept cookies. Please review our Privacy Policy to learn our cookie policy.