Problem Performance How It Works Capabilities Use Cases Request Demo

Detect & Classify Aerial Threats in Real-Time

AI-powered acoustic classification identifies UAVs, missiles, drones, and aircraft in under one second — no proprietary hardware required.

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Combat-proven AI
6 threat types
Sub-second latency

Aerial Threats Are Evolving. Detection Must Keep Up.

Traditional acoustic detection systems require expensive proprietary hardware arrays costing $500K+ per installation. They detect that "something is flying" but rarely identify what it is.

Modern threats — Shahed-type loitering munitions, FPV kamikaze drones, cruise missiles — require not just detection but instant classification. Knowing what is approaching changes the response.

Our AI engine turns any acoustic sensor into an intelligent classifier. No new hardware. No months-long integration. Just deploy the software and start classifying.

Performance Validated on Real Combat Data

0
Macro F1-Score
0
Threat Types Classified
<0
Classification Latency
0
Binary Detection Accuracy
Target Type F1-Score
Shahed UAV 0.97
FPV Drone 0.96
Helicopter 0.96
Transport 0.94
Aircraft 0.93
Missile 0.86

Metrics from 3-second MLP classifier evaluated on held-out test data with nested cross-validation.

From Sound to Decision in Milliseconds

Step 1

Capture

Audio captured by any acoustic sensor is streamed to the classification engine via WebSocket API.

Step 2

Classify

CLAP AI embeddings + MLP classifier identify the exact threat type from 6 categories with confidence scoring.

Step 3

Alert

Real-time JSON response with target type and probability. Integrates directly into your C2 or alert systems.

Audio Input Base64 Encoding WebSocket Binary Detection Multiclass Classification Alert Response

Built for Real-World Deployment

Software-Only Solution

No proprietary hardware. Works with any microphone array or acoustic sensor you already have.

6 Threat Types

Classifies Shahed UAVs, missiles, FPV drones, fixed-wing aircraft, helicopters, and ground transport.

Combat-Proven AI

Models trained and validated on real acoustic recordings from active conflict zones, not lab simulations.

API-First Integration

WebSocket API with JSON responses. Deploy as a Docker container. Integrate in hours, not months.

Configurable Sensitivity

Adjustable confidence threshold for different operational environments. Minimize false positives or maximize detection.

GPU & Edge Ready

ONNX Runtime optimized. Runs on GPU for maximum throughput or CPU for edge deployment. Your choice.

Protecting What Matters

Military Installations

Early warning for forward operating bases and command posts.

Critical Infrastructure

Oil & gas facilities, power stations, water treatment plants.

Border Security

Continuous acoustic monitoring of border perimeters.

Urban Defense

City-wide aerial threat awareness for civil defense.

Event Security

Protection for high-profile gatherings and government events.

24/7 Surveillance

Round-the-clock autonomous monitoring with no operator fatigue or shift gaps.

See It In Action

Schedule a personalized demo to see real-time acoustic threat classification with your operational scenarios.

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