Fasoo Selected as Finalist for 'Best AI Integration' at Global AI Awards

Fasoo announced on the 23rd that it has been selected as a finalist in the 'Best AI Integration' category at the 2025 AI Awards, a global AI award.

Fasoo was recognized for its ability to compete alongside global companies by expanding its data security solutions with AI.

The AI Awards is a prize established separately last year by 'The Cloud Awards,' which has been held since 2011. In addition to the AI Integration category, it evaluates and selects finalists in various industries such as platforms, startups, finance, and healthcare.

The AI Integration category, for which Fasoo was selected as a finalist, is judged based on the ability to integrate existing systems with AI. Leading global technology companies such as Illumina, Ivanti, Gong, and WalkMe are also included in this category.

Fasoo was chosen as a finalist in recognition of its AI governance and data curation capabilities, enabled by the combination of its enterprise AI solution 'Ellm' and AI document management platform 'Wrapsody.' By linking these two solutions, Fasoo maintains access permissions and policies for the data itself while providing a complete history. This maximizes the quality of AI training data and enables efficient management.

Ellm is a secure and practical sLLM (small large language model) that is fine-tuned with internal data to suit the characteristics and requirements of each organization, and can be deployed on-premises or as a private cloud. Based on Fasoo's expertise in data management and security, it can apply access permissions and policies set for each type of data.

It prevents important data, such as personal information and intellectual property, from being used for AI training or being inappropriately exposed through AI.

Wrapsody maximizes the quality and availability of internal data for AI training by enabling document asset management, version control, and file-level permission management. All documents are encrypted, and even when stored in a distributed manner based on document virtualization technology, they are centrally managed as single documents without duplication. It minimizes ROT (Redundant, Obsolete, Trivial) data that hinders AI training and utilization, allowing data to be managed in a way that is optimized for AI learning in terms of efficiency, cost-effectiveness, and security.

Fasoo Executive Director Son Jonggon said, "Many organizations are unable to even begin with AI in-house due to a lack of experience and resources, or they stop at the pilot stage and fail to implement it in actual work." He added, "From the outset, organizations need to consider which tasks to apply AI to, how to prepare data, and how to minimize the costs and side effects of AI utilization. To achieve this, it is necessary to analyze the characteristics of each task and design customized solutions in order to implement truly practical agent AI."

This content was produced with the assistance of AI translation services.