Applications

Where this belongs

One sensing core, applied wherever speed, dynamic range or power is the binding constraint. Below are the directions we are actively pursuing — and the ones we would like help aiming.

The economics

Cheap threats need cheap answers

The problem with the current counter-drone posture is arithmetic. Firing an exquisite interceptor at a low-cost drone wins the engagement and loses the exchange, and an adversary willing to buy in volume can keep that trade going indefinitely.

A low-cost interceptor cannot carry a high-cost seeker or a top-end GPU. Whatever rides on it has to be inexpensive, low-power and fast enough to close the loop in the terminal phase. That constraint is the whole design brief for Balor, and it is why the sensing approach matters more than the algorithm.

Why now

Three things moved at once

  • The threat arrived. Small uncrewed systems over bases, airfields and infrastructure, with GPS denial routine at the front.
  • The technology became fieldable. Sensing and inference now run together on a module small enough to fly, at a power budget that closes.
  • The buying changed. Volume procurement of low-cost effectors creates demand for a sensing payload priced to match them.

Commercial

The same core is dual-use

Defense is not the only path to sustainment. Anywhere a conventional camera runs out of frame rate, dynamic range or power headroom, event sensing opens a market.

Industrial machine vision

High-speed inspection, counting and process monitoring past the frame rate a conventional camera can sustain.

Maritime safety & autonomy

Collision avoidance for crewed and autonomous vessels in glare, spray and low light.

Infrastructure protection

Passive, always-on drone watch over critical sites, venues and airspace boundaries.

Commercial space awareness

Low-power tracking of objects and debris on orbit from small platforms.

AR / VR & wearables

Ultra-low-power eye, hand and motion tracking inside a headset thermal budget.

Automotive & mobility

High-speed perception for ADAS, robotics and driver monitoring in rapidly changing light.

Market sizing for neuromorphic vision and counter-UAS varies widely between analysts. We treat published figures as order-of-magnitude, not as a forecast.

Which of these should we go after first?

That is a real question, not a rhetorical one. If conventional EO or IR is falling short on one of your programs, or a mission you own is limited by size, power or bandwidth, we would like to hear about it.