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Intelligent Systems at Mission Speed

AI & Agentic
Solutions

From agentic LLM orchestration to edge-deployed inference, we engineer AI systems that reason, adapt, and act across the full mission spectrum.

Agentic AI & Decision Intelligence

Autonomous Reasoning at Enterprise Scale

BEACON, our applied AI framework, orchestrates multi-agent workflows using LangGraph and retrieval-augmented generation to autonomously process documents, enforce compliance, and deliver mission-focused decision support — all within ATO-compliant environments on AWS GovCloud and Azure GCC.

  • Multi-Agent OrchestrationLangGraph workflows coordinating specialized agents for document analysis, policy compliance, and knowledge retrieval across mission domains.
  • Retrieval-Augmented GenerationVector databases (Pinecone, Weaviate) paired with fine-tuned LLMs for domain-specific accuracy and grounded, hallucination-resistant outputs.
  • Secure LLM DeploymentRMF/CMMC-aligned LLM environments with continuous monitoring, NVIDIA DGX in-house training, and LoRA/PEFT efficient fine-tuning.
beacon-agent-pipeline
01▸ User query received
02▸ Router Agent → classification
03▸ Retrieval Agent → vector search
04✓ 12 documents retrieved (Pinecone)
05▸ Analysis Agent → reasoning
06✓ Compliance check passed (RMF)
07✓ Response synthesized → delivered
Framework: LangGraph + MCP
Latency: 1.2s | Tokens: 4,096

Edge AI & Deployed Inference

GPU-Accelerated Intelligence at the Point of Need

FogLifter, our mobile AI framework built on NVIDIA NGC, delivers stand-alone, scalable inference on tactical hardware — operating in disconnected, denied, and intermittent (DDIL) environments where cloud connectivity is not an option.

Tactical Edge Deployment

NVIDIA Jetson and ONNX Runtime inference optimized with C++, CUDA, and Rust for memory-safe, low-latency operation on resource-constrained platforms.

Computer Vision Pipelines

RAPTOR generates synthetic target signatures via GPU-accelerated ray tracing across EO, IR, and SAR modalities for AI/ML training and real-time exploitation.

Secure Containerization

Iron Bank hardened containers with DevSecOps CI/CD pipelines ensure every edge deployment meets DoD security standards from build to runtime.

< 30ms
Inference Latency
FogLifter
Edge AI Framework
RAPTOR
Synthetic Target Generation
NVIDIA
NGC & Jetson Platform

Immersive AI Training

Adaptive Learning Powered by AI

Our training platforms — JAVELIN, HVLE, and TGA — combine high-fidelity simulation in Unreal Engine 5 and Unity with AI-driven analytics that continuously adapt training to individual learner needs, closing skill gaps faster across the joint force.

01

AI-Driven Gap Analysis

TGA uses ML algorithms and DOTMLPF-P analysis to identify critical skill deficiencies and generate targeted training strategies.

02

Synthetic Content Generation

High-fidelity VR/AR/MR scenarios built in Unreal Engine 5 and Unity, with photorealistic environments for mission rehearsal and readiness.

03

Adaptive Learning Paths

ML algorithms dynamically adjust difficulty, pacing, and content based on learner performance — delivering personalized readiness at scale.

AI Training Platform Status
JAVELIN
Immersive Simulation Framework
DEPLOYED
HVLE
High Velocity Learning Environment
DEPLOYED
TGA
Training Gap Analysis Engine
DEPLOYED
BEACON
LLM Analytics Framework
DEPLOYED
Engine: UE5 / UnityAnalytics: AI/MLScale: Distributed

Ready to Deploy AI at Mission Speed?

Partner with JANUS Research Group to architect, build, and deploy intelligent systems that accelerate decision-making from the enterprise to the tactical edge.

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