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TalentSeeker

Category: AI in HR & Talent

An LLM-based global outbound recruitment platform that utilizes a conversational AI search engine (TalentGPT) to identify, analyze, and engage top-tier talent from global open web sources. TalentSeeker was founded in 2024. The company is led by Na Woo-sik. Based in Daejeon, South Korea. Team size: 3-10. Total funding raised: Undisclosed. Latest round: Seed Round. Key investors include Ensl Partners, Ministry of SMEs and Startups (TIPS).

Founded
2024
Headquarters
Daejeon, South Korea
Team size
3-10
Total funding
Undisclosed

Value proposition

Automates the shift from passive inbound hiring to proactive outbound recruiting, leveraging LLMs to process natural language queries and generate hyper-personalized outreach that increases candidate response rates by up to 40%.

Products and solutions

TalentGPT: A conversational AI talent search engine that replaces complex filters with natural language understanding., Talent Discovery: A global search tool exploring 300M+ candidate profiles across the open web (LinkedIn, GitHub, etc.)., Talent Seeker (TRM): A specialized Talent Relationship Management platform for outbound recruitment workflow., AI Outbound Automator: A tool for generating personalized, multi-channel recruitment messages while maintaining brand voice.

Unique value

Developed 'TalentGPT', Korea's first conversational talent search engine that structures global HR data into an 'HR Data Ontology' to provide high-precision matching beyond keyword-based searches.

Target customer

Startups, mid-sized companies, and enterprises seeking to overcome recruitment branding limitations by proactively hiring high-skilled passive candidates globally.

Industries served

HR Technology, SaaS, Information Technology, Global Recruitment

Technology advantage

Combines a massive global profile database (300M+) with a proprietary HR ontology and LLM-driven personalization, allowing small teams to manage enterprise-level outbound hiring pipelines with high conversion efficiency.

How they differentiate

TalentSeeker differentiates through 'TalentGPT,' a conversational AI search engine that replaces traditional filters with natural language understanding. It utilizes a proprietary 'HR Data Ontology' developed via KAIST joint research to analyze candidate capabilities (from open web sources like GitHub and Notion) rather than just job titles or years of experience.

Main competitors

Remember (Drama Corp), HireEz, SeekOut, Greeting

Key partnerships

KAIST (Technical ecosystem and academic forum partnership regarding Generative AI innovation), Ensl Partners (Seed investor and strategic growth partner), Ministry of SMEs and Startups (Selected for the TIPS program, 2025)

Notable customers

Socar, Foreign Consulting Firms (Confidential), Global IT Startups

Major milestones

Founded in May 2024, Initiated joint research with KAIST on Onto-LLM technology in August 2024, Received the Daejeon Mayor's Award at the 2024 Startup Competitiveness Shared Growth Event, Secured Seed investment from Ensl Partners in January 2025, Selected for the government-backed TIPS (Tech Incubator Program for Startup) in January 2025, Reached 200+ corporate clients and launched global outbound features in February 2025

Growth metrics

Acquired 200+ corporate clients within 9 months of product launch; integrated a database of 300M+ global talent profiles.

Market positioning

AI-native outbound recruitment challenger focusing on passive talent acquisition

Geographic focus

South Korea, Singapore, India, Vietnam (Asia-Pacific)

Patents and IP

Proprietary HR Data Ontology and TalentGPT engine logic (No specific registered patent numbers disclosed as of Feb 2025).

About Na Woo-sik

Na Woo-sik is the Co-founder and CEO of TalentSeeker. He previously co-founded YesNow Inc., an AI-driven fashion technology startup, where he focused on AI recommendation systems. Before his entrepreneurial journey, he gained industrial experience as a manager and engineer at PSK Inc., a prominent KOSDAQ-listed semiconductor equipment manufacturer. He is deeply connected with the KAIST (Korea Advanced Institute of Science and Technology) ecosystem, often participating in forums regarding AI business transformation.

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