Empowering 17 Years of
Defense M&S Domain Knowledge
with Advanced AI.
ARES integrates AI with simulation and defense domains to build intelligent surveillance & decision support, AI Agent automation, and AI load optimization (ALOPS®) solutions.
Defense Intelligent Surveillance & Decision Support
AI analyzes real-time surveillance feeds from GP/GOP border units to assist commanders' decision-making, from threat detection to countermeasure recommendations. Our 2-Tier architecture combines real-time detection by domestic NPUs with precise analysis by a VLM.
- Tier 1 Detection: Domestic NPU + YOLOv9/RT-DETR — Real-time video analysis
- Tier 2 Analysis: ARES-VLM™ (Defense-specialized Vision-Language Model) — Contextual situational awareness
- AI Advisor: DEVS-based tactical decision-making, available asset matching, & countermeasure recommendation
- GraphRAG based on 192 manuals + SOPs — Adaptive AI without retraining
AI Agent-Based Defense Software Automation
Multiple AI Agents automatically draft and manage 13 types of DAPA (Defense Acquisition Program Administration) technical documents. When requirements change, related documents are updated automatically, enhancing documentation quality and consistency compared to manual work.
- Orchestration of 4 distinct agents: Lead, Designer, Implementer, and Verifier
- Hybrid GraphRAG: Combined search using Dense Vector + BM25 + Knowledge Graph
- ARES-LM™ (Defense domain-specialized language model) — Inference within on-premise air-gapped networks
- Real-time integration with corporate systems (Configuration Management, PLM, etc.) via MCP
ALOPS® — AI Load Optimization System
In environments requiring the layout of diverse assets in complex spaces, AI automatically generates the optimal loading plan and validates it via 3D digital twins. It calculates 21 MIP-based constraints simultaneously, reducing planning time to 1/10 compared to manual methods.
- AI Optimization Engine: Automated calculation of 21 MIP-based constraints + 4 objectives
- 3D Digital Twin: 3D modeling of operational spaces, equipment, and cargo with layout simulation validation
- 5 AI Agents: Automation of planning, constraint validation, sequence optimization, resource allocation, and result analysis
- Ontology: Systematizes asset classification, hazard levels, and spatial constraints into a semantic network
- Applicable Fields: Naval & transport vessels, military logistics & transportation, facilities & warehouses, and tactical deployment
Local LLM Inference Server
NVIDIA RTX Pro 6000 (96GB VRAM)
On-premise inference of proprietary models
ARES-VLM™ · ARES-LM™
AI Agent Platform
Proprietary agent runtime
9 specialized agents & 55 capability modules
Event-sourcing-based growth system
Project Asset Ontology
Assetization of 249 CBD projects
26,253 documents & 538MB text database
PostgreSQL + pgvector search
GraphRAG & XAI
Hybrid GraphRAG pipeline
Search based on defense standard ontology
11-layer hallucination shield & XAI
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