◈ Command Overview
Real-time operational status across all AI-DEW subsystems
LIVE FEED
Engagement Timeline (24h)
Tactical Radar
Threat Composition
Effector Utilization
System Latency Distribution
Live Threat Feed
System Event Log
⚠ AI Classification Engine
Multi-modal CNN + gradient boosted classification with <100ms decision cycle
PROCESSING
Classification
38ms
Avg threat ID time
Priority Scoring
22ms
Avg priority calc
Decoy Detection
96.3%
Discrimination accuracy
Suitability Match
14ms
Effector assignment
Classification Pipeline Performance
Real-Time Threat Queue
Classification Decision Matrix — Last 50 Contacts
| ID | Type | RCS (m²) | Speed | Alt | IR Sig | Priority | Effector | Confidence | Decision (ms) |
|---|
⚡ Effector Management System
Laser dwell, HPM burst, thermal management, and atmospheric compensation
MONITORING
HEL Systems
4/5
Online / Deployed
HPM Systems
3/3
Online / Deployed
Kinetic Reserve
87%
Magazine depth
Atm. Quality
82%
Beam propagation index
Effector Health Status
Thermal Management Forecast
Atmospheric Compensation
Engagement Rate by Effector
🛡 Human Oversight Console
Human-on-the-loop per DoD Directive 3000.09 — Monitor, Approve, Override
SUPERVISED
Auto-Approved
1,729
AI decisions auto-authorized
Human Overrides
13
Manual corrections today
Audit Events
24,891
Logged decisions (full trail)
Emergency Controls
HALT
ALL
ALL
Emergency Kill Switch
Instantly halts all autonomous engagement
Rules of Engagement Status
Decision Audit Trail
Human vs AI Decision Concordance (24h)
📊 Simulation Lab
A/B benchmarks: AI vs. human operator — 90-day MVP simulation results
MVP PHASE: WEEKS 9-12
AI Throughput
186/min
Target engagements
Human Throughput
14/min
Target engagements
AI Advantage
13.3×
Speed multiplier
Correct Priority
97.2%
vs 95% target
AI vs Human — Saturation Scenario (200 targets)
Monte Carlo Simulation — 10,000 Runs
Scenario Results Matrix
| Scenario | Attack Vol | Human Rate | AI Rate | AI Correct % | Gap Closed |
|---|---|---|---|---|---|
| Iran-style drone wave | 200+ | 14/min | 186/min | 97.8% | 10× → 0× |
| FPV swarm attack | 50 @ 150km/h | 22/min | 194/min | 96.4% | 5× → 0× |
| Combined drone + missile | 110 mixed | 8/min | 172/min | 98.1% | Overload → Clear |
| Decoy-laden attack | 150 (60% decoy) | 6/min | 168/min | 94.7% | Waste → Optimized |
MVP Timeline Progress
✓ Weeks 1-4: Threat SimulationCOMPLETE
✓ Weeks 5-8: AI Engine & TrainingCOMPLETE
◐ Weeks 9-12: A/B BenchmarksIN PROGRESS
Deliverable: Simulation demo + performance report — 78% complete
🎯 Go-to-Market Pipeline
DEW prime partnerships and market opportunity tracking
TAM
$8-15B
AI layer for all DEW systems
DEW Market
$24-33B
Projected by 2030
CAGR
23.4%
DEW market growth rate
Pipeline Value
$42.5M
Active opportunities
Partnership Pipeline
| Partner | System | Status | Value | Probability | Timeline |
|---|---|---|---|---|---|
| Rafael | Iron Beam | ACTIVE | $12-15M | 75% | Q3 2026 |
| Rheinmetall | HEL System | ENGAGED | $8-10M | 55% | Q4 2026 |
| MBDA | DragonFire | ENGAGED | $7-10M | 50% | Q1 2027 |
| US Army RCCTO | Next-Gen HEL | SBIR PREP | $3-5M | 40% | Q2 2027 |
| Epirus | Leonidas HPM | EXPLORING | $3-5M | 35% | Q3 2027 |
DEW Market Growth Trajectory
Revenue Model
Pipeline by Stage
Cost per Engagement
⚡
$2-10
DEW Cost/Shot
🚀
$50,000+
Missile Interceptor Cost/Shot
5,000× — 25,000× cost advantage with AI-DEW
⚙ Risk Register & Compliance
Active risk monitoring, mitigation tracking, and regulatory compliance status
Risk Heatmap
| Risk | Severity | Likelihood | Score | Trend | Mitigation |
|---|---|---|---|---|---|
| Primes build AI in-house | HIGH | MODERATE | 6.8 | ↓ Declining | Best-of-breed AI outperforms in-house |
| Autonomous weapons controversy | MODERATE | MODERATE | 5.2 | → Stable | HOTL + Kill switch + ROE compliance |
| Live integration complexity | HIGH | HIGH | 8.1 | → Stable | Simulation-first; shared integration risk |
| Regulatory approval | HIGH | MODERATE | 6.4 | ↓ Improving | Start with permissive markets (IL, US) |
| Atmospheric degradation | MODERATE | HIGH | 5.8 | ↓ Declining | AI predicts & routes to kinetic alternative |
Compliance Dashboard
DoD Directive 3000.09 — Autonomous Weapons
✓ COMPLIANT
Human-on-the-Loop Verification
✓ VERIFIED
Kill Switch Functionality Test
✓ PASSED
Full Audit Trail Logging
✓ 24,891 events
ROE Enforcement Layer
✓ ACTIVE
Israeli MoD Authorization
◐ IN REVIEW
UK DSTL Approval Path
◐ INITIATED
EU AI Act — Military Exemption
⊘ PENDING
Risk Score Trend (30 Days)
Team Capacity & Requirements
| Role | FTE | Status | Key Skills | Utilization |
|---|---|---|---|---|
| Sensor Fusion Engineer (Lead) | 1 | FILLED | Multi-sensor tracking, radar, Bayesian inference | |
| DEW Domain Expert | 1 | FILLED | Laser/HPM physics, beam propagation | |
| ML/AI Engineer | 1 | FILLED | Real-time classification, RL, adversarial ML | |
| Simulation Engineer | 1 | FILLED | Defense simulation, Monte Carlo, synthetic data | |
| Systems Integration Engineer | 1 | HIRING | Fire control, STANAG, HIL testing | Starting Q2 |
| Defense BD Lead | 1 | FILLED | DEW relationships, OTA/SBIR contracting |