Featured Product

Project NAVA

Neurosymbolic Autonomous Virtual Agent

Executive Summary & Value Proposition

Project NAVA leverages neurosymbolic AI to solve critical challenges in military operations. Unlike purely data-driven models that can be unreliable "black boxes," our approach fuses the pattern-recognition power of neural networks with the logic, expert knowledge, and explainability of symbolic reasoning.

🛡️ Trusted Autonomy

Delivers recommendations that are verifiable and grounded in established doctrine, physics, and safety protocols.

⚡ Decision Superiority

Accelerates the OODA loop (Observe, Orient, Decide, Act) by turning complex data into clear, actionable, and trusted intelligence.

Vision: To create the industry-leading explainable AI platform for fusing complex, multi-modal sensor data into trustworthy, actionable intelligence for mission-critical operations.
Mission: To build a modular, neurosymbolic virtual agent that enhances human decision-making in complex environments by providing transparent, causal reasoning and robust performance under degraded or adversarial conditions.

Warfighter Benefits

Decision Superiority in Action

Real operational advantages that enhance mission readiness and save lives.

📈

Increased Fleet Availability

Proactive maintenance reduces unscheduled downtime by up to 40%, keeping critical assets mission-ready.

🛡️

Enhanced Mission Safety

Early fault detection prevents catastrophic failures that could endanger personnel and compromise missions.

⚡

Accelerated OODA Loop

Rapid threat identification and intent analysis enables faster decision-making in contested environments.

💰

Reduced Maintenance Costs

Targeted interventions based on actual condition reduce unnecessary maintenance and extend component life.

🔍

Spectrum Dominance

Novel threat detection and classification capabilities maintain advantage in contested electromagnetic environments.

📋

Doctrine-Aligned Decisions

All recommendations are grounded in established military doctrine, ROE, and technical manuals for trusted autonomy.

Deployment Advantages

🏭

Edge-Native

Designed for ruggedized edge hardware in air-gapped environments

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Real-Time

Low-latency processing for time-critical military operations

🔒

Self-Contained

No cloud dependency, complete autonomy in contested environments

Use Case Area 1

Predictive Maintenance & Fleet Readiness

Increase equipment availability, reduce maintenance costs, and enhance mission safety by moving from reactive/scheduled maintenance to proactive, diagnostics-driven maintenance.

⚠️ Complex Platform Prognostics

F-35 Fighter | Virginia-class Submarine

Problem

Unscheduled maintenance on high-value assets leads to massive downtime and reduced operational readiness. A missed critical fault can be catastrophic.

Neuro-Symbolic Solution

  • Neural Component: Analyzes high-frequency HUMS data (vibration, thermal, pressure, acoustic) to detect subtle pre-failure anomalies.
  • Symbolic Component: Encodes engineering manuals, physics-of-failure models, and maintenance logs with explicit rules.
🚨 TYPICAL OUTPUT
"Anomaly detected in Engine 1."
"Pattern consistent with early-stage bearing wear in the main gearbox (90% confidence)."
"Recommend inspection per Technical Manual 4-2B, Section 3.1."
"Grounding the aircraft is advised."
✓ Trusted, actionable, and specific

🚛 Ground Vehicle Convoy Reliability

JLTV | M1 Abrams

Problem

A vehicle breakdown during patrol in hostile environment is a critical vulnerability that puts lives at risk.

Combined Advantage

The system provides adaptive recommendations based on mission context, operational doctrine, and fault severity.

📊 MINOR FAULT SCENARIO
"Predicted transmission fluid degradation."
"Asset can complete current 2-hour mission."
"Schedule maintenance upon return."
🚨 MAJOR FAULT SCENARIO
"Critical engine fault detected."
"High risk of imminent failure."
"Recommend immediate return to FOB."

Use Case Area 2

Signals Intelligence (SIGINT) & Analysis

Achieve spectrum dominance by rapidly identifying and classifying novel threats, understanding adversary intent, and ensuring robust communication in contested EW environments.

📡 Novel Threat Signal Identification

Unknown Radar | New Communication Systems

Problem

Adversary deploys new radar or communication system never seen before. Traditional library-based systems fail to classify it, leaving warfighters blind.

Combined Advantage

Neural detection paired with symbolic analysis of signal characteristics to form hypotheses with clear explanations.

🎯 THREAT ANALYSIS OUTPUT
"Novel signal detected at 8.2 GHz."
"Neural analysis indicates complex, frequency-hopping pattern."
"Symbolic analysis concludes characteristics consistent with mobile fire-control radar."
"Likely designed to evade our current EW jamming suites."
"Recommend deploying asset Y to investigate."

🎯 Adversary Intent Analysis & Warning

Pattern Recognition | Threat Assessment

Problem

It's not enough to identify signals; we need to understand the activity they represent. Are they preparing to attack?

Doctrinal Integration

Encodes Rules of Engagement (ROE) and doctrinal templates of adversary behavior for strategic assessment.

🚨 THREAT ASSESSMENT
"Alert: Detected activity pattern matches 'Ambush' template with 85% confidence."
"Multiple signals have converged and transitioned from search to track."
"Immediate defensive maneuver recommended."
Rule: IF early_warning_radar + fighter_comms_chatter + fire_control_lock THEN 'Imminent Attack'

Ready to Deploy Project NAVA?

Contact us to learn more about deploying neurosymbolic AI for your mission-critical operations.