The threat
A five-hundred-dollar drone now kills armor and equipment worth a thousand times more, at a scale that is rewriting procurement worldwide.
A commercial first-person-view drone costs about five hundred dollars to build, and across Ukraine that drone is destroying tanks, fighting vehicles, artillery, and logistics at a rate that has forced every serious military to rethink what it buys. It is small, presenting a cross-section of thirty to fifty centimeters, it is fast, closing at around thirty meters per second, and it arrives in numbers. The attacker does not need to win a technology race. The attacker needs only to be cheap enough, in enough quantity, to overwhelm a defender protecting assets worth thousands of times more.
The economics
Every countermeasure fielded today either costs more than the drone it stops or fails against the autonomous threats replacing it.
The economics run in the attacker’s favor at every step. A missile interceptor costs between five hundred thousand and two million dollars a shot, and even the purpose-built low-cost interceptor drones fielded now destroy themselves to kill one target while the attacker reloads for the price of a used car. Electronic warfare lowers the cost of a single engagement but cannot defeat an autonomous drone that navigates with no control link to jam, and laser weapons remain a promise.
| System | Cost | Multiplier vs. drone |
|---|---|---|
| Missile interceptor (AIM-9X to SM-2) | $500K – $2M | ×1,000+ |
| Expendable interceptor drone (Merops ~$15K, Sting ~$2,100) | $2K – $15K | ×30 |
| RF jammer | LOW | Fails vs. autonomous |
| X-Gun reusable interceptor | ~$5 | Ammunition is the only consumable |
In the Red Sea, coalition forces spent a ~$2M Standard Missile to stop a ~$2,000 drone, roughly a thousand-to-one loss. Every interceptor above is expended on one target. X-Gun is not.
Beyond human performance
The human eye cannot see it, the human hand cannot time it, the human body cannot hold steady enough, and no human can calculate the lead. Reckon solves all four simultaneously.
Engaging a small drone with aimed fire is a timing problem, an aiming problem, a detection problem, and a computation problem, all at once.
The drone moves six to nine meters during the two hundred to three hundred milliseconds of human reaction time, more than ten times its own body width. A typical FPV attack drone presents a cross-section of thirty to fifty centimeters and closes at twenty to forty meters per second. Human reaction time from the moment the eye perceives alignment to the moment the trigger breaks spans that two hundred to three hundred millisecond window, and during it the drone has already left the space the shooter aimed at.
Bullet flight time adds another seven to eight meters of drone displacement on top of the reaction delay. At two hundred meters, a 5.56 NATO round takes approximately two hundred and fifty milliseconds to arrive. The total positional error from human latency exceeds the target size by an order of magnitude, and that is before accounting for natural weapon sway, trigger pull disturbance, and wind acting on both the projectile and the drone.
This is not a training problem. It is not a skill problem. The fastest shooter alive cannot overcome the physics of neural conduction velocity and mechanical trigger travel. The math says miss, every time, and the math is right.
The drone is invisible to the unaided eye at engagement range, making detection the first problem before timing even begins. A thirty-centimeter target at three hundred meters is at or below the reliable detection threshold of the unaided human eye under field conditions. The soldier may not be able to see the drone at all, let alone track it. Against a clear sky the target might be a dark speck. Against a cluttered urban background, trees, or broken terrain, it disappears entirely. At dawn, dusk, or at night, it is invisible.
Calculating the correct lead on a target maneuvering in three dimensions at thirty meters per second is beyond human cognitive ability in real time. The shooter is asked to see what the eye cannot resolve, estimate a range with no familiar reference for scale, compute a three-dimensional lead that changes every fraction of a second, hold the weapon more steadily than the human body allows, and time the shot within a window smaller than the neural delay between decision and action. Every one of these tasks is at or beyond the limit of human performance. The drone requires all of them simultaneously.
How Reckon solves this
The operator aims in the general direction and pulls the trigger. That is the authorization. From that moment, the system detects, tracks, corrects aim, computes the intercept, and fires, all within a single hold.
Reckon removes the human from the engagement loop entirely. The system’s imaging sensors detect and track the drone at ranges where the eye cannot resolve it, projecting an amplified target image and a convergent aiming bracket onto the operator’s display. After the trigger is pulled, an electronic sear restraint holds the firing mechanism. While the sear is held, actuators in the stock make sub-millimeter corrections to weapon pointing, continuously refining alignment against the predicted intercept point. The corrections are imperceptible; sight picture and eye relief are preserved. Simultaneously, the fire control system computes the probability of impact from the predicted trajectory, the ballistic solution, wind, and the corrected alignment, updating at the sensor refresh rate. At the computed moment of maximum hit probability, the system releases the sear and the weapon fires. The interval between trigger pull and sear release is typically sixty to one hundred and twenty milliseconds, during which the system detected the target the eye could not see, corrected the aim the body could not hold, computed the lead the mind could not calculate, and timed the shot the hand could not make. The operator decided to engage. The system handled everything else.
Industrial sustainability
Expendable interceptors consume twenty-six million dollars a year on one sector. A reusable armed interceptor flies home and rearms, spending only ammunition.
Cost per engagement is only half the economics. The other half is industrial sustainability.
A defending force using expendable interceptors against fifty attacks per week consumes twenty-six million dollars of hardware per year on a single sector. Each expendable interceptor drone is manufactured, shipped, stored, maintained, deployed, and destroyed. Once. The manufacturing pipeline must produce, ship, and stage that volume continuously, and any disruption to supply means a gap in defense.
How Reckon solves this
An X-Gun armed interceptor drone engages the hostile drone with aimed fire and returns to base for rearming. The airframe, motors, sensors, and fire control are recovered intact. Ammunition is the only consumable.
A reusable armed interceptor returns after each engagement. Only ammunition is expended, and ammunition is the most fungible, most available, most rapidly resupplied commodity in any military logistics chain. A 5.56 NATO cartridge is manufactured in dozens of countries, stockpiled in billions of rounds, and available from any allied-nation supply depot on earth. Over a twelve-month campaign the reusable force costs a fraction of the expendable one while maintaining identical readiness. The defender who reloads with ammunition instead of replacing airframes can sustain the defense indefinitely. The defender buying new interceptors every week is running a logistics race against an adversary whose drones cost less than the interceptors that kill them.
Why electronic warfare falls short
Jammers cannot stop an autonomous drone, cannot operate near civilians, and cannot scale. Kinetic interception works everywhere against everything.
Jamming works only against drones that depend on a continuous radio link, and the threat is moving to autonomous navigation that carries no link to sever. A jammer defeats a drone by severing its control link. This works against first-generation threats. It does not work against the threat that is arriving now.
Autonomous drones carry no control link to sever, making every jammer in the inventory irrelevant against them. They navigate by onboard vision, inertial measurement, and pre-loaded waypoints. A fiber-optic guided drone transmits video down a physical tether that no RF jammer can touch. A drone running a pre-programmed GPS route does not need a pilot at all, and GPS-denied variants navigate visually without even a satellite signal.
Jammers are unusable in the environments most likely to face drone attack: hospitals, airports, stadiums, highways, and urban centers where broadband RF disruption causes more damage than the drone. A broadband jammer near a hospital disables the medical telemetry the staff depends on. A jammer at an airport grounds commercial aviation. A jammer at a stadium kills every phone in the crowd and takes the venue’s own communications with it. Urban environments, where drone attacks on infrastructure, public gatherings, and government buildings are most likely, are precisely the environments where jamming either violates communications law or creates collateral disruption that exceeds the damage the drone would have caused.
The trend is unambiguous. Every month, a higher percentage of attack drones in active conflict zones operate autonomously or semi-autonomously. Fielding a defense predicated on jamming means fielding a defense with a known expiration date.
How Reckon solves this
A kinetic intercept has no electromagnetic footprint. It works in a city, at an airport, beside a hospital, and over a crowd. It works against every drone regardless of how it navigates.
A Reckon-directed engagement does not interfere with cellular networks, GPS, aviation, or medical equipment. It does not care whether the drone is autonomous, fiber-optic, pilot-controlled, or GPS-denied. It cares where the drone is. The same detection, tracking, and fire control pipeline engages every type of drone through the same mechanism, in every environment, with zero collateral electromagnetic disruption. Where a jammer asks what kind of link the drone is using, kinetic interception asks only one question: where is it now, and where will it be when the round arrives.
Why passive defenses fail
Nets catch one drone and spend themselves, cage armor absorbs one hit and learns nothing. Reckon detects at range, engages before impact, and shares the picture across the force.
Every net-based interceptor shares a common limitation: each net catches one target, and then the net and usually the platform that carried it are spent. Against a single reconnaissance drone over a sensitive site, a net capture is ideal. Against a coordinated attack by dozens of inexpensive FPV drones arriving simultaneously from multiple bearings, net-based systems saturate on the first wave.
Cage armor and slat armor on vehicles address the shaped-charge warhead after it arrives, not the drone before it strikes. They add hundreds of kilograms to a vehicle already under weight pressure, degrade mobility, interfere with hatches and sensors, and provide no protection to dismounted troops, soft-skinned vehicles, or exposed equipment. A cage may deflect a single impact. It does not detect the next threat, does not alert the crew, does not coordinate with adjacent vehicles, and learns nothing from the engagement. The cage is bolted on. It waits. If it works, it works once.
How Reckon solves this
Active kinetic defense detects the drone at range, tracks it continuously, engages before impact, and shares the detection across the network so every adjacent asset is oriented to the threat before it arrives.
The first vehicle to detect the drone alerts every vehicle in the convoy instantly, and the vehicle with the best engagement geometry takes the shot before the drone reaches any of them. The station tracks the drone continuously, computes a firing solution, and engages it before impact. Every other vehicle knows the threat bearing, the classification, and the track. The drone never reaches the armor. A net is a reaction to one drone. Cage armor is a prayer against one warhead. An active defense is an anticipation of all of them, and it tells the rest of the force what is coming.
The complete answer
Reckon solves the four problems no other system addresses together: finding a target the eye cannot see, timing a shot the hand cannot make, correcting aim the body cannot hold, and coordinating defense across a force under swarm attack.
The drone threat is four problems compounded. Each one alone is difficult. Together they are why no fielded system has solved counter-UAS for the dismounted soldier. Every alternative addresses one or two of these problems and ignores the rest. Reckon addresses all four, from the same platform, on the same network.
The detection problem
A thirty-centimeter target at three hundred meters is below the reliable detection threshold of the human eye under field conditions. The soldier’s first indication that a drone is inbound is often the sound of its propellers at fifty meters, by which point engagement time is measured in single-digit seconds. Radar does not reliably resolve a target this small at useful range for troops on foot. The drone is designed to be hard to see, hard to hear, and hard to find.
How Reckon solves this
Four independent detection methods (RF, acoustic, thermal, and AI-driven visual) run simultaneously on different physics, so a countermeasure that defeats one method does not defeat the others. A detection on any device propagates across the encrypted mesh instantly.
A drone that suppresses its RF signature is still detected by acoustic blade noise and thermal imaging. A drone that flies silently is still detected by RF emissions and visual AI. One soldier’s detection becomes the entire squad’s awareness in under two hundred milliseconds, without a radio call and without any action from the soldier who detected it.
The timing problem
Human reaction time makes manual engagement of a fast-maneuvering aerial target statistically impossible. The positional error from latency alone exceeds the target size by ten times.
How Reckon solves this
The fire control system computes the intercept solution continuously, predicting where the drone will be at the moment the projectile arrives, and releases the sear at the computed moment of maximum hit probability. The operator authorizes. The system times.
The operator pulls the trigger, the explicit human authorization to engage. The system holds the firing mechanism, refines the intercept prediction against the tracked trajectory, and fires when the math says the round and the drone occupy the same point in space at the same moment. The human latency bottleneck is removed entirely.
The aiming problem
The shooter’s natural body sway moves the muzzle two to five milliradians, but the drone at two hundred meters subtends only two milliradians, the angular size of a human head. Even if the timing problem were solved, natural sway from breathing, heartbeat, and muscle tremor moves the muzzle by more than the drone’s angular size at engagement range. The shooter’s own body is less stable than the precision the shot requires.
How Reckon solves this
Actuators in the stock apply sub-millimeter corrections to weapon pointing while the operator holds steady. The operator’s shoulder serves as a fulcrum. Corrections are imperceptible. Sight picture is preserved.
The operator feels nothing while the system corrects, because the stock’s fixed cradle stays stationary against the shoulder and face while an actuated stage behind it moves the weapon. The operator’s head, eye, and cheek do not move. The operator’s task reduces from impossible to achievable: point in the right direction, pull the trigger, and let the system handle the precision.
The coordination problem
A swarm is designed to saturate a single defender. One soldier can engage one drone at a time. Thirty drones arriving simultaneously from multiple bearings are designed to overwhelm individual response.
How Reckon solves this
The encrypted mesh transforms individual detection into collective defense. A distributed algorithm assigns each incoming drone to the weapon best placed by geometry and readiness to engage it. No central coordinator. No radio call. No gap in coverage.
A target caught by one node is tracked by all of them. The soldier closest to the threat with the best engagement angle takes the assigned target while every other node continues tracking its own assignments. The defense scales linearly with the number of equipped soldiers, and a swarm that was designed to overwhelm one defender finds itself facing a coordinated response from the entire force.
Each of these is a patent-pending capability built into one system. Together they are the complete answer to the drone asymmetry problem, and no other fielded system delivers all four.
Reckon is the scope that thinks, the interceptor that flies home, and the mesh that breaks a swarm.