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Korean startups

South Korea’s next AI unicorns stand out at KPAS 2024

The 20 finalists are startups with promising technologies in the AI cloud, AI model, AI chip and AI service sectors

By Oct 17, 2024 (Gmt+09:00)

3 Min read

KPAS 2024 finalists' founders speak at the event on Oct. 17, 2024 
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) 
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.

MarqVision, a startup developing an AI-driven intellectual property (IP) protection platform, saw its sales in the first quarter this year grow 30 times from three years ago. It counts international luxury powerhouse LVMH Moët Hennessy Louis Vuitton (LVMH) among its clients.

It recently raised 22 billion won in a Series A round and used some of the proceeds to develop generative AI-backed Marq AI.

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 
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.

Muhayu, known for its flagship AI-powered plagiarism detection service Copy Killer, has recently launched a Japanese version of GPT Killer designed to detect generative AI plagiarism.

AI CLOUD

Five startups that develop, distribute and manage AI models based on cloud computing were also selected.

Lablup offers a program used by AI developers to build, train and deploy machine learning models using graphic processing units (GPUs).

Dalpha offers cloud-backed customized AI services for various business-to-business clients, while Vessl AI operates a MLOps platform.

Allganize develops large language models for different industries, and Selectstar, an all-in-one data service provider, is currently developing an AI-backed mental health care management service as part of the Korean government’s project.

KPAS 2024 on Oct. 17, 2024 
KPAS 2024 on Oct. 17, 2024 

AI MODEL AND AI CHIP DEVELOPERS  

Nota AI is also recognized for its smaller AI models that support small devices in the AI model sector.  

It was joined by three peers – Superb AI, operator of a platform that labels, cleans, analyzes and manages data needed to build an AI model; Aurumplanet, operator of AI-backed custom search engine Liner; and Friendli AI, offering a service to optimize client’s LLM to reduce inference time and maximize 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.
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