Counter-drone planning platform

Design drone protection that holds up under attack.

Select the areas you need to protect, choose how drones should be detected and neutralized, and let the optimizer place real, catalogued systems for the best coverage per dollar. Then launch a simulated raid and watch whether the design stops it.

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Solutions
100+
Detect · neutralize
60+ · 35+
Categories
14
Protection Designer showing an optimized layout of sensors and effectors around two sites, with detection, defended and cost results
Why it matters

Drones are cheap, fast and numerous. Most protection plans are not tested against that.

Buying decisions are often made from brochure ranges, one technology at a time. Real attacks combine autonomous drones that emit no radio signal, several drones at once, and approach paths nobody planned for.

Every sensor has blind spots

RF sensors cannot hear autonomous drones, radar struggles with birds and clutter, and cameras need to be cued. Coverage needs distinct technologies, not more of the same.

Detection alone does not stop a drone

Effectors must be in reach, cued in time, and have enough channels and magazine to handle a raid, not just a single intruder.

Claims need evidence

Vendor "up to" figures are rarely achieved against small drones. Plans should be built on sourced, derated data and tested before money is spent.

The platform

From a map to a tested protection plan in minutes

One workflow combines detection and neutralization, optimizes where every unit goes, and validates the result against randomized attacks.

1

Select the areas to protect

Draw one or more sites on the map: a plant, an airport apron, a stadium, a border post. Set a buffer ring for early warning, the altitude ceiling, the drone classes you face, the share of autonomous drones and the expected raid size.

2

Choose detection and neutralization methods

Pick the technologies you are allowed to use, for example radar, RF, acoustic, EO/IR, jamming, interceptors or directed energy, and optionally restrict them to specific products. Set the redundancy: how many distinct sensor and effector types must cover every point.

3

Optimize the distribution

The optimizer places and orients units to reach your coverage goals within budget, balancing performance against cost. An effector only counts where it can be cued and has the capacity to absorb the raid. Results show coverage by area and altitude, cost, and every unit's contribution.

4

Simulate an attack

Launch a randomized raid of multirotor and fixed-wing drones. Each drone runs the full kill chain: detection, track confirmation, effector reaction, engagement time and probability of kill, with channels and magazines that can saturate. Monte-Carlo runs give defeat rates with confidence intervals.

Designer setup: protected areas drawn on the map with detection and neutralization technology choices
Areas, threat and technology choices
Attack simulation playback with inbound drones, tracked and defeated counts
Attack simulation against the optimized design
Solutions catalog

Built on an evidence-based database of real systems

Every detection sensor and effector the optimizer can choose is a commercially available product with standardized specifications and public sources.

  • One specification standard per technology, so radars are compared with radars and jammers with jammers, field by field.
  • Planning ranges against small drones, with vendor maximums derated and flagged as estimates.
  • Effectiveness per drone class, plus engagement channels, time and magazine for effectors.
  • Sources and a confidence rating on every record, and a cost basis that says whether a price is published or estimated.
  • Side-by-side comparison of up to four products.
Solutions Catalog listing detection and neutralization systems with ranges, coverage, effectiveness, cost and data confidence
In-house product

Acoustic detection network

Our own sensor detects drones from the sound they make. Directional microphone arrays are distributed across the protected area and together form a listening network that covers the close-in gaps other sensors leave, including autonomous drones that emit no radio signal.

01

Listen

Directional microphone arrays pick up the tonal signature of rotors and motors while rejecting sound from other directions.

02

Classify

A machine-learning model runs on every node and scores each second of audio, with a tunable threshold for the local noise environment.

03

Localize

Nodes report detections, confidence and position; several detecting nodes give a confidence-weighted position estimate.

04

Alert

Operators see every node and every detection live on the Sensor Network map, ready to cue cameras or effectors.

Live Sensor Network map showing an acoustic node reporting a drone detection
Live Sensor Network: nodes, detections and alerts
  • Passive. It emits nothing, so it is safe near airports and hospitals and invisible to the attacker.
  • Independent of radio links. It hears autonomous and pre-programmed drones that RF sensors miss.
  • Low cost per node. Dense networks are affordable, and nodes are quick to deploy for events and exercises.
  • Planned like everything else. The acoustic node is in the catalog, so the optimizer can place it alongside radar, RF and optical sensors.
Ask about the acoustic network
Contact

See it on your own site

Tell us what you need to protect. We can walk you through a design for your site, discuss an acoustic network deployment, or arrange access to the platform.

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