Agentic targeting for UAS swarms

Targeting,built for the swarm.

Distributed UAS observations converge into one target nomination ready for human command.

01 / The workflow

The swarm sees in fragments.

Irongold resolves the target.

Distributed observation / target nomination

Agentic workflow

  1. 01
    Observe

    Every aircraft contributes its view.

  2. 02
    Resolve

    The agent correlates identity, position, and confidence.

  3. 03
    Nominate

    One target-ready decision moves to human command.

02 / The domain

Not another system.
The layer between them.

AirDistributed perception

GroundPersistent identity

MaritimeShared understanding

FixedMission context

Correlated target stateOne operational reality.

03 / The environment

The network can degrade.
The understanding cannot.

Built for the conditions that break ordinary software.

  • 01 Intermittent communications
  • 02 Degraded positioning
  • 03 Limited bandwidth
  • 04 Human authority

Correlated target state

Human authority

04 / The future

The next force will not be defined by how many systems it fields.It will be defined by how well they understand together.

Machine speed. Human intent.