We Transform How Offline Retailers Use Data.
Unlocking Insight.
Empowering Everyone.
OUR MISSION
OneCheck Inc. is a retail technology company that leverages sLLM, a natural language processing AI technology, and Ultra Wide-Band (UWB), a precision positioning technology, to introduce a new paradigm in offline retail data analytics and insights.
KEY TECHNOLOGY
UWB _ Ultra Wide-Band
Ultra-Precise Indoor Positioning
UWB provides centimeter-level positioning accuracy, enabling highly precise indoor location tracking. Compared to GPS or BLE, distance errors are significantly reduced, allowing accurate detection of customer positions and movement paths inside stores. This enables advanced retail use cases such as shelf-level analytics and location-based marketing.
Robust and Reliable Positioning
UWB uses ultra-short pulses, making it highly resistant to signal interference and multipath effects. It maintains stable distance measurements even in complex indoor environments with people, walls, and fixtures. As a result, it delivers highly reliable location data in crowded commercial spaces.
sLLM _ Specialized Large Language Model
Context-Aware Analysis
sLLM is a domain-specific language model optimized for specific business domains and data structures, designed not as a general conversational AI but as an AI purpose-built for analysis and decision-making.
By understanding predefined metric frameworks, data relationships, and business rules, it interprets user intent not as simple questions, but as analytical requests. Especially in complex data environments such as retail, sLLM maintains consistency in metric interpretation, period-over-period comparisons, and analytical perspectives, enabling step-by-step reasoning and insight generation similar to how human analysts approach analysis.
Advanced-RAG Architecture
Advanced-RAG applies a meta-only approach to overcome the efficiency and accuracy limitations of traditional full-text and chunk-based RAG. It filters out irrelevant documents using metadata and preserves document-level context during answer generation, minimizing chunk fragmentation. As a result, the system maintains stable indexing size while delivering high-quality, scalable knowledge retrieval and response generation.
HISTORY
Constantly experimenting and learning as we move toward better offline retail insights.
2024-2025
With the successful completion of a seed funding round, we gained recognition for our growth potential through selection for the TIPS program and the TIPA Value Up initiative. We further strengthened the foundation for expanding our global retail data business by registering as an official data service provider, expanding collaboration with Bridge Smile in Japan, and being selected for TIPS overseas marketing support.
We successfully conducted UWB-based indoor customer positioning PoC projects across multiple regions in Japan, including Tokyo, the Chubu region, and Kyushu, targeting supermarkets, theme parks, and exhibition venues.
2022-2023
We secured supply agreements for 30,000 UWB modules with DeepFly in Japan and domestic companies, earned recognition at the ILS (Innovation Leaders Summit), and showcased our technology at CEATEC 2023. Through these activities, we expanded direct engagement with the Japanese retail and technology markets and took our first concrete steps toward global expansion.
2020-2021
Starting with the establishment of the company in November 2020, we built a strong technological and business foundation by setting up a corporate R&D center, obtaining venture company certification, and signing strategic MOUs with major enterprises.
PRESS
OneCheck in the News
Transforming retail data into actionable insights is setting new industry expectations.
COLLABORATION
Our Industry Partners
in Korea and Japan.
