Seung Eun Lee CEO of iM Corporation
-Enabling users to understand AI principles and run models efficiently without expensive equipment
-Providing ‘Hands-on AI Solutions’ that satisfy technical curiosity through direct experimentation and development
“The current landscape of AI education often mandates high-performance GPU servers or expensive hardware, creating a significant barrier to entry for students and beginners who want to engage with the technology practically”, said CEO Seung Eun Lee. “To overcome this, we are building an environment where anyone can learn and develop AI technology without financial burden by leveraging edge devices.”
The flagship product line is built on three pillars integrating software and hardware. Algorithm Optimization Technology. This maximizes AI computational efficiency. By applying a proprietary, validated K-means-based data selection technique, the company ensures high inference accuracy even with limited datasets.
Dedicated AI Simulator. This allows users to experience AI training and inference without physical hardware. Having recently completed standalone (EXE) packaging and software copyright registration, the simulator supports both a ‘Discovery Mode’ for beginners and an ‘Advanced Mode’ for experts.
Edge Hardware Modules. These modules run in real-world edge environments. The company has completed the circuit design and PCB layout for Raspberry Pi-compatible AI accelerators and FPGA-based educational boards, with physical production set to begin shortly.
iM Corporation’s competitive edge lies in its integrated ecosystem that provides an ‘A to Z’ solution for Edge AI adoption. Rather than simply selling chips or boards, the company offers a comprehensive package including optimization algorithms, pre-validation simulators, and educational curricula. Furthermore, a key differentiator for this tech-driven startup is the simultaneous establishment of a Customer Support Center, which provides physical testing environments and technical support infrastructure from the early stages. This infrastructure minimizes the trial and error users typically face when adopting new hardware.
Regarding future goals, Lee stated, “In the short term, we aim to complete the prototypes and functional validation of our research and educational AI modules. A major milestone will be the official launch of our website and the operation of our support center to secure a solid user base.” He added, “In the medium term, we plan to utilize seed investment to move into mass production and generate initial revenue. Long-term, we aspire to lead the edge AI ecosystem through the development of ultra-low-power AI semiconductors.”
Established: October 2025
Core Business: Lightweight AI semiconductor modules, AI simulators, FPGA boards for education, and AI algorithm optimization technology
Key Achievements: Completed AI algorithm optimization and performance validation (K-means based), Developed AI module simulator and completed Software Copyright Registration, Completed circuit design and PCB layout for research/educational AI boards, Established Customer Support Center infrastructure and testing beds
reporter jinho lee
jinho2323@hankyung.com
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