Tactical Intelligence
Workstation
Air-Gapped Local LLM Infrastructure for Defence Operations
A secure, air-gapped-ready intelligence workstation for local analysis of sensitive mission documents using Large Language Models and Retrieval-Augmented Generation — with 100% data sovereignty. Runs on any modern hardware; the application automatically selects the optimal inference model for your system at startup.
On first launch, the system scans CPU, RAM, and GPU and recommends the optimal inference model for your hardware. Accept the recommendation or select a different tier — models are downloaded automatically if not already present.
After ingestion the system generates a high-fidelity BLUF summary, extracting grid coordinates, named objectives, risk indicators, and mission discrepancies directly from the source document. All processing is on-device.
Hardware-Aware Model Selection
On first launch, the app scans your CPU, RAM, and GPU and recommends the optimal inference tier for your hardware. Accept the recommendation or choose a different model. Downloads are handled automatically if the model is not already present.
Deep Text Intelligence
Processes large, complex PDF mission documents and delivers high-fidelity BLUF summaries — extracting grid coordinates, risk indicators, and discrepancies. Analysis depth scales automatically with your hardware tier.
Visual Intel Module
Powered by Moondream. Analyses imagery including satellite maps, drone feeds, and surveillance photos. Performs object and landmark detection, translating pixel data into a clinical, objective text description — fully on-device.
Dual-Stream Memory (RAG)
Two isolated vector stores: an Ephemeral Mission Archive for the current operation and a Persistent Policy KB for permanent MOD doctrine (JSP 383, Rules of Engagement) loaded via /policy ingestion. The AI automatically cross-references tactical plans against policy to surface legal or ethical constraints.
Integrated OPSEC Layer
All inference and database communication is bound to loopback 127.0.0.1. Source PDFs and images are overwritten on the physical disk immediately after analysis. Generated SITREPs are securely shredded from the filesystem 60 seconds after creation.
Formal SITREP Export
One-command generation of sanitized FPDF situation reports from the current session context. Reports are formatted for formal distribution and automatically purged from local storage 60 seconds post-generation.
| Tier | Model | RAM / VRAM | Use Case | Example Hardware |
|---|---|---|---|---|
| High Performance | gemma4:26b | 40 GB+ | Highest fidelity analysis, complex cross-referencing | M3 Max 48GB · RTX 4090 |
| Strong | gemma3:12b | 24 GB+ | Solid document analysis and RAG reasoning | M2 Pro 24GB · RTX 3090 |
| Moderate | llama3.1:8b | 16 GB+ | Good general performance on standard hardware | M1 16GB · RTX 3060 16GB |
| Entry | llama3.2:3b | 8 GB+ | Basic querying and summarisation on minimal hardware | Any modern laptop · 8GB RAM |
Visual Intel (Moondream) runs in parallel as a dedicated vision model and is not part of the tier selection above. All models are downloaded via Ollama and stored locally.
Populate the Persistent Policy KB with JSPs, ROE cards, or MOD guidance using the /policy route token. Policy documents persist across sessions and are never auto-purged.
Query both archives concurrently with natural language. The model automatically cross-references mission data against policy doctrine to surface compliance deviations, PID requirements, and legal constraints.
Execute the Generate Formal SITREP action to produce a sanitized, standalone FPDF readout from the current session context.
OPSEC Protocols
All inference and database communication is bound exclusively to loopback 127.0.0.1. External telemetry routes are structurally absent — not disabled, but never written.
Original PDFs and images are overwritten on the physical disk immediately after analysis completes. No residual source data persists. Generated SITREPs are wiped 60 seconds after creation.
All model inference executes natively via Ollama on the host machine. No tokens, queries, or document content leave the device at any point in the processing pipeline.
After initial model download, the workstation operates with no network connectivity required. Designed for deployment in SCIF and air-gapped environments.
Hardware Requirements
| Parameter | Minimum | Recommended |
|---|---|---|
| VRAM / RAM | 8 GB | 40 GB+ |
| Storage | 10 GB free | 60 GB+ SSD |
| GPU (NVIDIA) | Any 8 GB VRAM | RTX 4080+ |
| Apple Silicon | M1 8GB | M3 Pro/Max 48GB |
| Quantization | IQ4 / 4-bit | Q6_K / 8-bit |
| OS | Windows 10+ | macOS 14+ / Win 11 |
Select your target architecture below. Each request routes a deployment bundle inquiry directly to the system administrator and includes pre-configured Ollama manifests, model download scripts, and full setup documentation.