Counter-UAS Platform · v0.1

Multi-Theater · Operational Pilot
MENA · Eastern Europe · Black Sea
Anywhere hostile UAS operate

Built for the threat

Shahed-class · Mohajer · Hostile sUAS
Loitering munitions · Quadcopter swarms

It listens like a cicada.
Hunts like a dragonfly.

AI counter-drone defense designed to cost less than the drone it stops.

/ CYDRA-01 · INTERCEPTOR PROTOTYPE · 2026 Cydra-01 counter-drone interceptor
Acoustic array
Cicada Mode
Optical dome
Dragonfly Mode
Ducted interceptor
High-velocity pursuit
Mass750 g
Top Speed200 km/h
Cicada Mode100 days
Dragonfly Mode22 min
Mesh Range4 km
  • Acoustic array Cicada Mode
  • Optical dome Dragonfly Mode
  • Ducted interceptor High-velocity pursuit
// MODE Cicada · Passive Listen
// DETECTION Acoustic + Vision
// RESPONSE Predictive Intercept
// COST RATIO < 1.0× Threat
01 / The Problem

The attacker has the cost advantage.

A hostile quadcopter can be cheap, fast, and deadly. It can be built from commercial parts, launched with little warning, and used to threaten soldiers, vehicles, infrastructure, and civilians.

But stopping it is often far more expensive than launching it. Traditional counter-drone defense depends on costly radars, jammers, interceptors, missiles, or fixed infrastructure. That creates the wrong battlefield equation.

A cheap drone attacks.
An expensive system defends.
  • /01Mass-produced quadcopters at consumer pricing
  • /02Coordinated swarms beyond single-shot defense
  • /03Fiber-optic and low-RF-signature drones
  • /04Adversaries trading cheap hardware for costly responses
  • /05Defense budgets that cannot scale with threat volume
02 / The Approach

Cydra turns the cost equation upside down.

The best way to defeat a low-cost drone is with an even lower-cost defensive response.

/ 01

Cheap

To deploy across an area at scale.

/ 02

Passive

To detect without active emissions.

/ 03

Accurate

To pursue and predict trajectory.

/ 04

Autonomous

To intercept without operator delay.

/ 05

Scalable

To defend areas, not just points.

Cydra does not need the attacker to transmit a radio signal. It does not start with an expensive shot. It starts by listening.

03 / How It Works

Two modes. One defensive equation.

Mode 01 · Cicada

Listen. Locate.

Passive. Distributed. Low-cost detection.

Like a cicada listening for predators, Cydra begins in passive acoustic mode. Units deploy across an area and listen for the acoustic signature of hostile quadcopters.

The system uses AI to separate drone-like rotor patterns from background noise, classify suspicious signatures, and estimate where the threat is coming from — with no active signal of its own.

  • No expensive launch · no active emissions
  • Effective against low-RF and fiber-optic drones
  • Distributed acoustic grid · low cost per node
/ CICADA · ACOUSTIC GRID PASSIVE LISTEN
// Acoustic Envelope

How far it hears.

Each Cydra carries a calibrated, high-end microphone array tuned to the rotor harmonics of small quadcopters — the 100–300 Hz blade-pass tones and their high-frequency overtones. Hostile drones can't hide that signature. The numbers below are realistic detection ranges for small consumer quadcopters in passive Cicada mode.

// Quiet · Open Terrain 200–300m Rural, low wind, clean sightlines.
// Urban · Mixed 80–150m Near roadways, structures, machinery.
// High Wind · Noise 40–100m Wind, rain, and ambient noise reduce signal.
Single Unit
Bearing, instantly.

One Cydra returns precise azimuth and elevation — the threat is "northeast, 25° up" before a person hears anything. Direction, not distance.

Mesh of Three+
Full 3-D position.

Three or more units cross-correlate the same signature and triangulate to a point in space. Cicada is built for the mesh — one drone hears, the network locates.

Mode 02 · Dragonfly

Predict. Intercept.

Predictive pursuit. High-accuracy interception.

Once Cydra detects the threat, it shifts from listening to hunting. Like a dragonfly, Cydra does not simply chase the target — it predicts where the target is going.

Using AI, microphones, cameras, and onboard autonomy, Cydra identifies the hostile quadcopter, forecasts its path, and calculates the optimal interception approach. The attacking drone becomes the prey.

  • Identify · acoustic and visual confirmation
  • Predict · trajectory forecasting via onboard AI
  • Intercept · direct, capture, net, or hook
/ DRAGONFLY · INTERCEPT PREDICTIVE PATH
04 / The New Equation

From a losing model to a winning one.

Low-cost attack drone — versus — High-cost defense system
// The attacker wins the economics
Low-cost attack drone — versus — Even lower-cost AI defense
/ The defender takes back the advantage
05 / Why Cydra Wins

Built for cheap threats. At scale.

01 — DETECTION

Low-cost passive acoustic sensing

Microphones are lightweight, scalable, and inexpensive compared with traditional radar and RF detection systems.

02 — PURSUIT

High-accuracy AI prediction

Cydra combines sound, vision, and predictive AI to identify the drone, estimate its trajectory, and guide interception.

03 — DESIGN

Built specifically for cheap threats

Cydra is built for the quadcopter problem: small, low-cost aerial threats that are too cheap and numerous for traditional defense models.

04 — DEPLOYMENT

Area-wide, not point-defense

Cydra units deploy across a protected area, creating a flexible acoustic and visual defense layer instead of relying only on fixed infrastructure.

05 — ECONOMICS

Defense that scales with the threat

When attack drones are cheap, defense must be cheaper. Cydra is designed to scale economically — not just technically.

06 — POSTURE

Passive first, active when needed

The system stays silent until a threat is confirmed, preserving operational signature and minimizing false escalation.

Operational Pilot · Now Booking

Reverse the cost equation of drone warfare.

From low-cost attack and high-cost defense
to low-cost attack and even lower-cost defense.