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Your Data Never Leaves

Commercial AI APIs send every token over the public internet to a vendor's servers. For classified, ITAR-controlled, or CUI data that is not an option, and for a lot of defense customers, it's not negotiable.

We deploy modern open-weight LLMs inside your network, wired to your data, accessible only to your users, with logs you own. Same capability, your rules.

Airgap-compatible No vendor lock-in CAC / PIV auth Audit trails ATO-aligned
0
Tokens sent to third-party clouds
<100ms
Typical on-prem first-token latency
100%
Logs & traces owned by customer

AI Capabilities

On-Prem Local LLMs

Self-hosted language models running inside your enclave on NVIDIA GPU infrastructure (H100 / H200 / A100 / L40S). No data leaves the network. No cloud API keys, no third-party prompt logging, no vendor lock-in. Supports Llama, Mistral, Qwen, and customer-specific fine-tunes.

LlamaMistralNVIDIA H100vLLMOllama

NVIDIA Accelerated Compute

Full NVIDIA stack deployments: CUDA, cuDNN, TensorRT-LLM, Triton Inference Server, NIM microservices, and NeMo fine-tuning. Tuned for throughput, tensor parallelism, and FP8 / INT4 quantization so you get the most tokens-per-second out of every GPU hour.

CUDATensorRT-LLMTritonNIMNeMo

RAG over Classified Corpora

Retrieval-augmented generation pipelines that index mission docs, SOPs, training materials, and program data behind appropriate access controls. Answers stay grounded in your actual source material.

Vector DBpgvectorChunkingReranking

Fine-Tuned Mission Assistants

Domain-specific assistants trained on your doctrine, regulations, and vocabulary using NVIDIA NeMo and Hugging Face pipelines. Used for course assistance, SOP lookup, acquisition drafting, and analyst augmentation, with audit trails.

LoRAQLoRANeMoInstruction Tuning

AI Copilots & Agents

Tool-using agents for analysts, instructors, and operators. Structured outputs, constrained decoding, and guardrails that respect classification boundaries and authority-to-act limits.

Tool UseGuardrailsEvalsTraces

Evaluation & Safety

Red-teaming, jailbreak testing, and quantitative eval harnesses so you can show auditors and sponsors what the model will (and will not) do. Bias, hallucination, and leakage tests built in.

Red TeamEvalsAudit

AI Inside the Curriculum

AI pluggable into NSSI-style curricula and space warfighter simulations — generating adaptive exercises, scoring student work, and extracting after-action insights from transcripts.

Adaptive Learning AAR VR/AR
Trainee wearing a VR headset interacting with a simulation display

Tools & Platforms

Compute & Platform

  • NVIDIA H100 / H200
  • A100 / L40S
  • Jetson Edge
  • CUDA / cuDNN
  • Kubernetes + GPU Operator
  • Airgap

Inference

  • vLLM
  • TensorRT-LLM
  • NVIDIA Triton
  • NVIDIA NIM
  • Ollama

Training

  • NVIDIA NeMo
  • PyTorch
  • Hugging Face
  • Axolotl
  • Unsloth

Retrieval

  • pgvector
  • Qdrant
  • Elastic
  • BM25

Bring AI Inside the Fence

We'll walk through your data, your clearance boundaries, and what AI can realistically do inside them.