Accelerating Agentic Commercewith Custom Silicon & Edge AI
Building the world's first FPGA/ASIC-powered On-premise LLM Appliance for real-time, multi-lingual autonomous commerce agents.
Technology Roadmap
From Validation to Custom Silicon
Phase 1: The Proof (Current)
Real-world Validation: High-Throughput Agentic Commerce Platform
Operating a global e-commerce platform powered by our proprietary 'LLM Agentic OS'. Validating kernel-level optimized real-time multilingual processing and autonomous AI agent orchestration at scale.
Dogfooding our on-premise LLM appliance technology with 100k+ SKUs and real-time global traffic.
Phase 2: The Edge (Next 12-18 Months)
Hardware Acceleration: EdgeBox E1 with Tenstorrent
Developing a dedicated NPU for edge devices, optimizing LLM kernels for low-latency inference. Collaborating with Tenstorrent to integrate RISC-V based AI accelerators.
Phase 3: The Core (Future)
Ultimate Efficiency: Server-Grade ASIC for Cloud AI
Designing next-gen server ASICs through hardware-software co-design. Targeting extreme power efficiency (TOPS/Watt) for massive scale agentic workloads.
Products & Solutions
EdgeBox E1
Powered by Tenstorrent Grayskull™ / Wormhole™ architecture. Sub-100ms Latency for Voice-to-Voice Translation. Fully On-premise Data Privacy.
Agentic Commerce Solution
Beyond simple chatbots: AI Employees that handle everything from Merchandising to CS and Marketing.
- 01 Merchandising
- 02 Customer Service (CS)
- 03 Marketing Automation
Company & Team
Leadership
Professor & CEO, bridging academic rigor with industrial innovation. Led by Seoul National Univ. faculty.
Global Talent Pipeline
Global R&D Team including interns from French Grandes Écoles, designing next-gen architecture.
Trusted Partners
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