The threat has changed. The decision loop hasn't.

Drones are now persistent, low-cost, asymmetric and fast-evolving threats operating across complex airspace, in numbers, and with increasing autonomy.

In most counter-UXV systems, threat detection is increasingly automated — but what happens next still depends on the operator. At scale, the gaps compound:

RF sensors, radars, and effectors each see only a slice of the threat
Tracks and context don't persist across systems or zones
Identity, IFF and mission state remain disconnected
Increasing scale creates operator overload, especially with decoys or swarms

An operator at a multi-screen console, drone tracks overlaid across the surrounding camera and radar feeds

By the numbers

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8 Placeholder supporting line
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97.4% Placeholder supporting line
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1,200+ Placeholder supporting line
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30 Placeholder supporting line

The Decision Layer

NEXUS builds one continuous threat picture. An edge-first mission intelligence layer that orchestrates heterogeneous sensors, command systems and effectors into one coordinated counter-UXV operation. NEXUS turns a shared threat picture into coordinated Counter-UXV action.

An isometric terrain model in the Mission Network style. A protected site sits in a river valley with an operator beside it. RF, radar, acoustic and EO/IR sensors stand on the hills, two UAVs patrol overhead, and a jammer from OEM A stands at the left end of the scene, all joined by thin network lines. One of the UAVs is marked as the interceptor. Two hostile drones, marked with red diamonds, are fused into tracks by the sensors; the jammer forces one to land, and the operator tasks the interceptor UAV, which brings down the other.

01

Multi-Sensor Fusion

Correlate RF, radar, acoustic and EO/IR inputs to build a unified airspace picture and improve threat detection.

02

Threat Identification & Assessment

Combine sensor tracks, identification data and mission context to distinguish friendly assets from potential threats and assess their priority.

03

Soft-Kill & Hard-Kill Coordination

Coordinate electronic countermeasures and kinetic effectors through a common decision layer, enabling responses across different threat scenarios.

04

Multi-OEM Interoperability

Integrate heterogeneous sensors, command systems and effectors from multiple manufacturers into a coordinated counter-UAS architecture.

The Operational Loop

Compress the OODA loop.

Observe

Multi-sensor fusion across RF, radar and EO/IR.

Orient

Shared mission and threat context — IFF and Blue-on-Blue resolved using mission state.

Decide

Mission-aware dynamic ROE, with real-time escalation and response selection.

Act

Edge-to-edge coordination and gap-free handoff, with persistent memory under degraded comms.

↺ Act feeds back into Observe — continuous operation, not a one-time cycle.

Operating Model

Purpose-built for real operations.

Degraded Comms

Persistent mission state and edge execution when connectivity is disrupted.

Policy-Aware

Dynamic ROE governs escalation and response.

Human-Controlled

Command authority, overrides and multi-mission supervision remain with the operator.

Trust by Design

Dry-run every action against ROE first, with a full audit trail behind every explainable decision.

Commissioned for Control

ROE validation and blind-spot-aware planning back every action with legal-grade decision logs.

Runs on Driif Mission OS

The layer underneath.

NEXUS runs on Driif Mission OS: sensors, effectors and operators share one track picture across the mesh, even when the link to command drops.

01

Edge-to-Edge Mesh

Decentralised coordination that keeps working in degraded, denied and zero-RF conditions.
Edge-to-Edge Mesh →
02

Mission Autonomy

One operator sets intent; mixed fleets divide the work under human authority.
Mission Autonomy →
03

Scout

Autonomous perception at the edge, in place of manual search.
Scout →

Post-Mission Debrief

Turn manual search into autonomous perception.

Modern operations are increasingly defined by an imbalance between sensor input and operator capacity—too much raw data and operator workload, and too little time, coverage, and decision space. Driif AI’s Scout Systems expands awareness, reduces manual search, and enables faster, more confident decisions.

IFF

Cooperative and non-cooperative, resolved at the edge.

Classify

Threat identification and classification without a datalink.

Target

Designation and handoff inside the engagement loop.

Swarm

Cooperative behaviour, no central controller.

Scout is in pre-production testing. Performance data, integration detail and trial results are available under NDA.

Get Started

See the threat.
Understand the context.
Control the response.

With NEXUS — the decision layer for counter-UXV.

Request a demo

The decision layer for counter-UXVs.