Robot model
Fury
Autonomous vehicle orchestrator platform that commands unmanned battlefield systems including UGVs (NOMAD) and drones.
- Manufacturer
- Scout AI
- Form factor
- defense
- Maturity
- pilot
- Lifecycle
- active
The verified answer
As of Sep 2026, DEPLOY verifies Fury, a defense by Scout AI (pilot). 2 sources back the record.
Overview
Autonomous vehicle orchestrator platform that commands unmanned battlefield systems including UGVs (NOMAD) and drones. Demonstrated in live-fire tests with agentic AI combat agents.
Verified vs. claimed
- Maturity stage
- pilot(Small-scale deployment in controlled or trial conditions.)
- Sources on file
- View all sources →
No verified deployments on file. DEPLOY tracks independently-sourced deployment evidence separately from manufacturer capability claims.
Pricing
No verified price is on record for Fury. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdSep 7, 2026
Added to the verified registry
Safety record
No incidents on record for Fury.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (2)
Common questions
What is Fury?
How much does Fury cost?
Is Fury actually deployed in the real world?
Who makes Fury?
Can you buy Fury?
What are alternatives to Fury?
How does Fury compare to ION?
What is Fury's maturity stage?
Where is Fury deployed?
Is Fury safe?
Methodology: Unreviewed · 2 sources (no primary) · last reviewed 2026-09-07
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-09-07
Maturity + lifecycle
Maturity stage: pilot
Lifecycle: active
Architectural position
Cohort: defense
Sources by quality tier
- 1
- unclassified
- Unclassified source
- 1
- secondary-industry-publication
- Industry publication
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Fury.Machine-readable surfaces
- Markdown mirror: /models/fury-scout-ai.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/25381031-2426-4bbb-b19d-5b4eb4ccba84
- Revision history: /models/fury-scout-ai/history
- Data documentation: /data
- Query this programmatically: Deploy MCP