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탤런트시커, '내손안에 AI 헤드헌터'로 대전광역시장상 수상 / 사진제공=탤런트시커

TalentSeeker Recognized with Daejeon Mayor's Award for Contribution to Startup Growth, Leading Global Trends with AI-Powered Recruiting Service

[By Park Sun-Hye, Reporter at Culture News] TalentSeeker (CEO Nausik), a leading AI-powered recruitment service, was recently awarded the Daejeon Mayor’s Award at the '2024 Startup Incubation Competitiveness Enhancement Business Results Sharing Conference' held at the Daejeon Intercity Hotel.

The event, organized by the Daejeon Job and Economic Promotion Agency and the Daejeon Startup Incubation Council, aimed to promote the local startup ecosystem and expand successful outcomes. The award recognized companies and experts who have significantly contributed to fostering startup growth.

TalentSeeker, a student startup founded at the Korea Advanced Institute of Science and Technology (KAIST), was honored with the Daejeon Mayor’s Award for commercializing its innovative AI-based recruitment service.

Launched in May 2024, TalentSeeker's service has gained rapid traction both domestically and internationally, earning recognition as ‘The AI Head Hunter at Your Fingertips.’ The service stands out by using AI to analyze over 500 real-world tasks rather than simply reviewing resumes, allowing for more detailed comparisons of candidates' performance and job suitability.

The core technology, developed in collaboration with KAIST, continues to evolve through ongoing research. Even during the beta phase, TalentSeeker exceeded expectations by attracting over 300% more clients than initially projected, offering a highly advanced service. The company is now acknowledged for its technological expertise and market potential, reshaping the recruitment landscape.

사진=탤런트시커 로고 이미지

woosik NA, CEO of TalentSeeker, shared, “As companies shift towards continuous recruitment and proactively search for talent, outreach methods are increasingly recognized as the trend in global hiring. We seized this opportunity to create an AI-based candidate outreach service. We are thrilled with the positive response in the recruitment market and are committed to leading the global hiring space, while also contributing to our local community and fellow entrepreneurs.”

Culture News / By Park Sun-Hye, Reporter news@mhns.co.kr

TalentSeeker Wins Daejeon Mayor’s Award as ‘AI Head Hunter at Your Fingertips’

2025/01/09

TalentSeeker Collaborates with KAIST on Innovation for Efficient Talent Acquisition

TalentSeeker, through the Startup Growth Technology Development Program, has been conducting joint research with KAIST since August to develop an innovative system that supports companies in hiring top talent.

The goal of this research is to create a system that automatically collects and refines resume information from various online activities of job seekers, such as blogs, social media, and portfolio sites, to recommend the best candidates to companies.

Through AI-powered data analysis, TalentSeeker ensures an accurate match between a job seeker's abilities and the requirements of the hiring position, thereby maximizing the efficiency of the recruitment process.

Real-time data collected from job seekers is integrated and managed, with AI technology analyzing this information to help companies quickly identify suitable candidates.

This system enables companies to rapidly secure top talent, addressing the issue of talent acquisition imbalance and contributing to enhanced competitiveness.

The research is scheduled to continue until September of next year, with KAIST designated as the research institution overseeing the development. TalentSeeker is presenting a new growth model that connects companies with exceptional talent using big data and AI technologies.

TalentSeeker Develops Talent Acquisition Support System in Collaboration with KAIST

2024/11/13

TalentSeeker Launches New AI Recruitment Service to Support Talent Acquisition for Businesses

TalentSeeker has launched a new AI recruitment service designed to address the challenges companies face in their hiring processes.

Previously, companies had to review 1,000 candidates to hire one person, but TalentSeeker has introduced a system that systematically categorizes resumes from over 300 million candidates across Asia. This system is equipped with a search function, enabling businesses to quickly find the right talent.

With this service, TalentSeeker aims to resolve the imbalance in talent acquisition, enhance the competitiveness of companies, and provide new growth opportunities.

TalentSeeker's mission is to develop and utilize new big data and AI technologies to discover hidden talent and connect them with companies in need. Through this, it aims to strengthen the talent competitiveness of all businesses and provide valuable opportunities for new growth.

Additionally, TalentSeeker has been collaborating with KAIST since August through the Startup Growth Technology Development Program and plans to continue evolving its innovative recruitment solutions.

TalentSeeker Launches AI Recruitment Service

2024/11/13

TalentSeeker Introduces a New Trend in Outbound Recruiting for the Low-Growth Era

In response to the current low-growth era, TalentSeeker has presented a new trend in outbound recruitment. Recently, companies have been looking for talent that can immediately contribute to their work, leading to a rapid shift in the recruitment market. Traditional job posting-based and scheduled hiring methods are gradually being replaced by outbound and on-demand hiring, which have become the core of the recruitment process.

However, outbound recruitment takes considerably more time compared to inbound recruitment. While inbound recruitment involves candidates reaching out to companies after seeing job postings, outbound recruitment requires companies to directly approach each candidate, which is more time-consuming and labor-intensive. To address this challenge, TalentSeeker has leveraged AI and big data technologies to significantly improve the most time-consuming process in outbound recruitment—candidate sourcing.

TalentSeeker’s new system is designed to save 50% of the time compared to traditional outbound processes. This allows companies to discover and hire talent more efficiently, providing them with the foundation to adapt to a rapidly changing market. Through this innovative approach, TalentSeeker is setting a new standard in outbound recruitment and offering fresh opportunities to both companies and job seekers.

TalentSeeker Introduces a New Trend in Outbound Recruitment

2024/11/07

TalentSeeker Integrates 300 Million Talent Pool Across Asia Using AI and Big Data

TalentSeeker has announced the integration of a 300 million-strong talent pool across Asia, leveraging AI and big data technologies. Recently, many job seekers have been sharing their resumes on various platforms such as GitHub, Notion, Stack Overflow, LinkedIn, and even personal blogs, adapting to the self-promotion era. This trend is expected to continue growing, with an estimated 300 million job seekers in Asia by 2028.

TalentSeeker has built a system to effectively collect and categorize this vast amount of talent information. AI and big data play crucial roles in this process, enabling companies to easily find the most suitable candidates. Companies can quickly search for candidates with specific skills or experiences, drastically simplifying the recruitment process.

Furthermore, the platform offers job seekers the opportunity to discover hidden top companies and presents platforms where they can fully showcase their skills and career potential. TalentSeeker’s AI recruitment service creates a mutually beneficial environment for both companies and job seekers, presenting a new paradigm in talent acquisition. This will lead to smoother connections between talent and companies across the Asian region.

TalentSeeker Integrates 300 Million Talent Pool Across Asia Using AI Technology

2024/11/01

TalentSeeker Successfully Completes Closed Beta Service with Overwhelming Customer Participation

TalentSeeker officially announced on the 30th that its closed beta service has been successfully concluded. The closed beta attracted more than 300% of the initially expected customer participation within just three days, making a significant impact on the recruitment market. This success is seen as a testament to the high interest and expectations surrounding TalentSeeker's innovative AI-powered recruitment solution.

The closed beta included recruiters and headhunters from startups and small-to-medium-sized businesses, offering them the opportunity to explore new ways of talent acquisition. TalentSeeker’s service provides features to collect and categorize resumes from various platforms such as LinkedIn, GitHub, and Notion, gaining attention as an HR solution that supports outbound recruitment.

CEO Nausik announced plans to launch an even more improved version of the service in early November, based on the feedback gathered during the closed beta period. He stated, “The insights gained from communication with our customers were invaluable in improving our service, and we will continue to strive for ongoing development.”

The closed beta recruitment was conducted via LinkedIn, with the application period running from August 1st to August 3rd, 2024. The closed beta service ran for one month, from August 1st to August 30th, 2024, with a total of 120 customer companies participating. This marks a solid foundation for TalentSeeker to provide tailored recruitment solutions to meet the needs of various industries.

The successful completion of this closed beta service significantly enhances TalentSeeker's future growth prospects and strengthens its position in the AI recruitment sector

TalentSeeker Successfully Concludes Closed Beta Service

2024/10/30

On the 20th, Kwak Jae-Do, Director of the Dorong Venture Forum, Stresses the Need for Different Support Policies for AI Companies

“Support methods and policies for artificial intelligence (AI) companies should be completely different from those for traditional information and communication technology (ICT) companies.”

Kwak Jae-Do, Director of the AI Industry Convergence Business Unit (AI Business Unit), emphasized this point during his online presentation at the Dorong Venture Forum held on the 20th at KAIST Startup Center. He pointed out that the business structures and resource deployment strategies of AI companies are fundamentally different from those of traditional software companies. He stressed the importance of considering these differences when formulating support methods and policies for AI companies.

Kwak Jae-Do, Director of the AI Industry Convergence Business Unit (AI Business Unit), explained, “Traditional software development centers around source code as the core of the content, and 70-80% of the budget is spent on maintenance even after development is completed. In contrast, AI companies spend over 90% of their costs on data collection and AI model training.” This approach differs fundamentally from the methodologies established over the past 40 years in software engineering.

He emphasized that with the advancement of deep learning technologies, the performance of AI models is heavily dependent on the quality of the data, making it difficult for developers to directly control this process. “Even after spending significant amounts on training, it is challenging to predict the results accurately,” Kwak said. “This is a new challenge that traditional development methods are not equipped to handle.”

To effectively support AI companies, Kwak proposed several key strategies, including securing high-quality validated data, supplying experienced AI talent, conducting proof-of-concept projects to establish references, and fostering collaborative ecosystems with companies across various fields.

He particularly stressed the importance of collaboration models between AI solution providers and industry domain experts. “By collaborating, AI technology companies and domain-specific companies with abundant data can maximize the effectiveness of AI applications,” he predicted.

The AI Business Unit, to which Kwak belongs, has been accelerating support for the domestic AI industry since the launch of the AI Data Center last October. According to Kwak, around 700 companies nationwide are currently utilizing the center's high-performance computing resources and data solutions. In addition, active support initiatives are underway, including the establishment of AI testing and validation environments and the training of AI specialists.

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During the subsequent panel discussion, experts shared an overall positive outlook for the future of AI startups. However, they emphasized that as competition surrounding AI technology intensifies, developing a differentiated business model has become crucial.

The panel discussion was moderated by Yoon Sang-kyung, CEO of ETRI Holdings, and included Nausik, CEO of TalentSeeker, Yoo Yong-gyun, CEO of AI Friends, and Park Dae-hee, CEO of Daechangjo Innovation Center.

woosik NA, CEO of TalentSeeker, emphasized that in order for early-stage AI startups to secure data and establish their own competitive edge, collaboration with large enterprises is essential. He advised, “AI startups must leverage the data and capital of large corporations to advance AI models and, based on this, develop differentiated services.”

A key challenge is how AI technology can be used to provide new value to customers. Yoo Yong-gyun, CEO of AI Friends, highlighted, “Rather than focusing solely on the AI technology itself, the focus should be on developing a business model that utilizes this technology. It is also crucial to foster close collaboration between academia and industry to apply AI technology to real-world industries.”

Support for AI Companies Must Be Approached with a New Paradigm

2024/06/23

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