Aegis-X — Multimodal Dataset Auto-Generation for the AGI Era
98 categories × 7 modalities — 24/7 unattended synthesis for disaster, medical, robotics, defense, and automation domains
Train Hollywood VFX, autonomous driving, humanoid robotics, and defense AI models on large-scale multimodal datasets we synthesize ourselves — without depending on external APIs. v5.2.0-S1 has accumulated 1,200+ events with daily automated additions.
Current Status (v5.2.0-S1)
Disaster · medical · robotics · defense · automation domains
visual / auditory / haptic / olfactory / sensors / timeseries / text
v5.2.0-S1 baseline, daily automated additions
Self-hosted LLM router + Ollama + proprietary diffusion
Sample Images — 6 Categories (Actual v5.2.0-S1 Production)
Each image shows the visual modality only. Real datasets include audio (.wav), haptic (.json), olfactory (.json), sensors (.csv), and timeseries (.csv) data.
Why Aegis-X?
AGI training requires tens of terabytes of multimodal data (visual + auditory + haptic + olfactory + sensors + timeseries + text). Manual collection costs millions of dollars, licenses are murky, and Korean-domain content (Korean people, uniforms, facilities) is even scarcer. Aegis-X solves this with proprietary IP.
Key Advantages
In-House IP — $0 External API Cost
No dependency on OpenAI/Anthropic/Scale AI. Synthesized via Ollama qwen3:8b + proprietary diffusion + simulation engines. v5.0.0 integrates 6 free LLM backends (Qwen3-235B + Solar Pro + EXAONE + DeepSeek R1, etc.).
98 Categories × 7 Modalities
Disasters (earthquake/fire/flood), medical (trauma/surgery/ICU), robotics (warehouse/drone/humanoid), defense (Aegis destroyer/missile/radar), smart factory, autonomous driving, and more — 98 domains. Each event simultaneously synthesizes 7 modalities.
Korean Domain Optimization
Accurate Korean facial features + Korean government uniforms (Navy/119 Fire/EMS) + Korean facilities (Seoul tertiary hospitals/Aegis ships/smart factories). Direct usability for 13 Korean B2G agencies (DAPA / ROKN / NFA / MoHW etc.).
Physics & Validation Guaranteed
Each event passes 4 physics simulations (CFD, Stefan-Boltzmann, Helmholtz, OSHA PEL) + 12 domain validation agents. Cross-modal coherence + schema-driven validation guarantee 100% consistency. 65 rules patterns + 29 DSL tests PASS.
Clear Licensing
Dual-license: CC-BY 4.0 (academic) + Commercial. Officially publishable on HuggingFace + Kaggle + Zenodo DOI. Usage scope documented.
24/7 Unattended Auto-Evolution
Production runner triggers autonomous_evolution_v2 once per cycle. Auto-strengthening of weak categories + adaptive threshold tuning + 240-figure simulation committee consensus. Quality and diversity continuously improve without human intervention.
Market Competitiveness
Overwhelming pricing and domain advantages over existing synthetic data / annotation services:
vs. Scale AI
Scale AI uses manual annotation + external LLM dependency → ~$5,000-$10,000 per 1,000 events. Aegis-X = self-automated → $250-$3,600 for the same volume (by tier). 1/3 to 1/20 the cost.
vs. Mostly AI / Synthia
Mostly AI focuses on tabular (single-modality) data. Aegis-X = 7-modality co-synthesis + physics simulation. True multimodal.
vs. OpenAI Sora / Google Veo
Sora / Veo are general video generators. Aegis-X = domain-specialized + clearly licensed + accurate Korean people/facilities. Immediately usable as training data (Sora/Veo licensing for training derivatives is murky).
B2G Native Fit
Korean government / defense / medical data needs = security + licensing + Korean-figure rendering. Aegis-X meets all conditions — 13 Korean government agencies can adopt immediately.
Launching Soon — Get Notified
Aegis-X datasets are in pre-launch preparation. For early access, B2G adoption, or academic collaboration, contact [email protected]. Sign up for an account to receive launch notifications.
Aegis-X is GaRangBi AI Tech's proprietary IP. As of v5.2.0-S1, productization is in progress — launch schedule will be announced separately.