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Capabilities

What We Build

What we build, who we build it for, and the technology underneath.

Our Approach

COTS-First, Mission-Ready

We start from proven commercial off-the-shelf platforms and open-source models, then adapt them to your mission, your constraints, and your hardware. This approach delivers fielded capability 60-70% faster and at lower cost than custom-build programs.

60-0%
Faster to field
Months
Not years to deploy
COTS
Proven foundation
Edge AI & Post-Training

Intelligence at the Tactical Edge

Foundation Model Post-Training

LoRA, QLoRA, and full SFT for domain adaptation with 10x less data.

Sparse-Data Learning

Physics-informed architectures and synthetic augmentation for defense domains.

Edge Inference Optimization

Quantization, distillation, and pruning for <100ms latency on tactical hardware.

Explainable AI

Traceable, auditable decisions for mission-critical operations.

Post-Training Pipeline

FORGE platform: fine-tuning to sovereign deployment in a single pipeline.

Autonomous Systems

Autonomous Systems Powered by Cortex

Built on NVIDIA Cosmos world foundation models for synthetic data generation, sim-to-real transfer, and intelligent scene understanding.

Synthetic Data Generation

Generate physically plausible training data using Cosmos world models, reducing real-world data requirements by 10x.

Sim-to-Real Transfer

Bridge the reality gap with video-to-video translation, enabling robot policies trained in simulation to deploy in physical environments.

Video Analytics AI Agents

VLM-powered scene understanding, intelligent event detection, and natural language search across video feeds.

Multi-Agent Coordination

Swarm intelligence and multi-robot teaming for warehouse, logistics, and defense operations.

Edge Deployment

NVIDIA Jetson and NIM microservices for real-time inference at the tactical edge with air-gapped capability.

Sensing, Physics & Quantum

Physics-Informed & Quantum Intelligence

Physics-informed AI and quantum computing share intellectual roots in mathematical physics. Together they deliver intelligence grounded in physical law with hardware-agnostic quantum execution across IBM, Amazon Braket, IonQ, and Rigetti.

Physics-Informed Neural Networks

Neural networks constrained by conservation laws, boundary conditions, and physical principles for higher accuracy with less data.

Advanced Radar Signal Processing

AI-enhanced radar for next-gen detection in cluttered, contested environments.

Electromagnetic Spectrum Analysis

Real-time spectrum monitoring, classification, and electronic warfare capabilities.

Quantum Graph Neural Networks

QGNN architectures for defense intelligence, network analysis, and pattern recognition in classified datasets.

QAOA Optimization

Quantum approximate optimization for logistics routing, portfolio optimization, and resource allocation.

Post-Quantum Cryptography

NIST PQC standards implementation (CRYSTALS-Kyber/Dilithium, FALCON, SPHINCS+) for quantum-resilient security.

Multi-Sensor Fusion

Combining radar, EW, optical, and RF data for comprehensive situational awareness.

Hybrid Quantum-Classical Pipelines

Variational quantum circuits integrated with classical ML for near-term quantum advantage on multiple backends.

Simulation & Predictive Intelligence

Predictive Intelligence & Simulation

Digital Twin Simulation

Physics-fidelity simulations for testing, training, and operational planning. Validated against real-world data for high-fidelity predictions.

Anomaly Detection

Real-time detection of anomalous patterns in equipment, infrastructure, and financial systems using multi-modal sensor data.

Time-Series Forecasting

Temporal models for demand prediction, equipment degradation, and resource planning across operational domains.

Predictive Analytics

Time-series forecasting and anomaly detection for operations and infrastructure. From equipment health monitoring to financial risk modeling.

Operational Forecasting

Mission planning and resource allocation models that account for uncertainty, degradation, and operational constraints.

Synthetic Data Validation

Generating and validating synthetic datasets for training, testing, and evaluation in data-scarce defense environments.

Industry Focus

Sectors We Serve

Defense

  • >Edge AI for contested environments
  • >Electronic warfare & spectrum analysis
  • >Autonomous systems & ISR

Infrastructure

  • >Smart city monitoring & IoT
  • >Predictive maintenance
  • >Critical infrastructure protection

Manufacturing

  • >Defect detection & quality inspection
  • >Process optimization
  • >Digital twin simulation

Finance

  • >Real-time fraud detection
  • >Risk modeling & forecasting
  • >Intelligent document processing
Tech Stack

Tools of the Trade

PyTorch
ONNX
TensorRT
Jetson
ROS2
CUDA
Hugging Face
LangChain
OpenVINO
Docker
Kubernetes
MLflow
Weights & Biases
FAISS
PostgreSQL
Redis
NVIDIA Cosmos
Qiskit
Amazon Braket
Isaac Sim

Ready to Build Something Real?

From edge AI to physics-informed simulation — we deploy capabilities that survive contact with the real world.