The console

A common operating picture.

Radar, RF, cameras, and every drone you command, fused into one live view that re-plans as the fight moves. One operator, one loop, one version of the truth.

DomeCommand operator console over Munich Airport: live tracks, tasked assets, and telemetry on one screen

The problem

// An evolving defense landscape

01 / 03

One operator, many drones

One operator can no longer keep pace with the swarm.

Picture one person at a remote facility. The threat is not a single aircraft, it is dozens, arriving from every bearing at once, and the console in front of them was built to track a handful.

// Seconds to act

~10s

From spotting a drone to impact, faster than a human can read a message.

// Tracks at once

300+

What a peak fight looks like. Legacy systems were built for ten.

// Cost gap

5000×

A $400 drone against a $2M missile. You can't win this fight by hand.

// How DomeCommand thinks about itWe put a solver on the allocation and an agent on the reasoning, so the operator approves the call instead of computing it.

Sensor overload

Too many feeds, too little meaning.

Radar, RF, cameras, acoustic. Each with its own screen, its own alarm, and its own version of events.

They disagree, and together they pour out more than anyone can read. The quiet paradox of the modern console is that adding sensors often leaves the operator less sure, not more. Under time pressure, buried in signal, the honest human response is to freeze.

// How DomeCommand thinks about itWe do not add another feed. We fuse them into one track that stays honest about what it does not yet know.

No accurate sensing data

The picture is usually wrong.

Most of the time operators do not have accurate sensing data. Coverage has holes, and the one angle you need is the one you do not have.

And the threats are going quiet. Modern autonomous drones fly their mission without emitting the RF that detection has leaned on for years. So the question we keep asking: what if the sensors could move, sent to the gap and the ambiguous contact to earn a better look instead of guessing from a bad one?

// How DomeCommand thinks about itIf the picture is wrong, we go and fix it: task a flying sensor to the gap and earn the better look.

How it works

Three parts, one loop.

A better picture from sensors that move, a fleet that does more than defend, and two kinds of intelligence deciding together.

// 01

Dynamic aerial sensor fusion

Radar, RF, EO/IR and acoustic get fused into one track that stays honest about what it does not yet know. When identity is uncertain, the system tasks a flying sensor to move in and earn a better look. Fusion stops being passive, it goes and improves its own picture.

· One honest track· Sensors that move· Contact → identified

Read the deep dive

// 02

Dynamic, multi-purpose drone swarm

One fleet you can task on demand. It defends, and it also watches, patrols, and scouts. Drones self-organize, reassign themselves mid-flight, and keep flying as links drop. Defense is the hard edge that forces the system to be fast and trustworthy; the everyday jobs make the fleet worth owning.

· Defend · watch · patrol· Self-organizing· Degrades gracefully

How the swarm holds together

// 03

Agentic + solver decision brains

A traditional solver carries the math, allocating assets under hard constraints of cost, coverage, and reach. An agentic harness reasons around it: what changed, what matters now, what to re-solve, and briefs the trade-offs in plain language. Two kinds of intelligence in one loop, and you approve the call.

· Solver does the math· Agent does the reasoning· Human approves

Why a solver plus an agent

Continuous · Operator-led