Swarmbotics AI: defense robotics company

Overview

Defense robotics company developing attritable unmanned ground vehicles for swarm operations. Founded in 2023 by Drew Watson and Stephen Houghton. Its FireAnt sUGV is a low-cost, tracked hybrid-electric ground robot designed for swarm coordination, anti-armor missions, and situational awareness in high-risk environments. The U.S. Army tested FireAnt at xTechOverwatch in Texas in October 2025.

Verified record

Verified deployments: None on file
Active incidents: None on file

Key facts

Founded

2023

HQ

Scottsdale, AZ, USA

Fundingsee investors →

$4M seed

Product

FireAnt sUGV — attritable tracked anti-tank swarm robot

Data & sources

Web sources

2

2 sources backing this record.View all →

Models (1)

View all models →

Current platform

FireAnt

Low-cost, attritable unmanned ground vehicle with tracked hybrid-electric drive, designed for swarm coordination and anti-armor engagement. Tested by the U.S. Army at xTechOverwatch in Texas, October 2025. Features cross-country mobility optimized for urban and off-road operations.

defense_ugvView model →

Swarmbotics AI on the deployment map

View the global map

Swarmbotics AI has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.

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The global deployment map →

No verified deployments for Swarmbotics AI on the DEPLOY record yet. Track Swarmbotics AI to know the moment the first one is verified.

Safety record

No incidents on record for Swarmbotics AI.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Full safety record: incidents, sourcing, and exposure data →

Recent coverage

Swarmbotics AI in third-party press

US Army Funds ACS Bullfrog Autonomous Overwatch With $2M Award - The Defense Post

Feb 13, 2026

Swarmbotics Wins US Army Contract for Swarming Ground Robots - The Defense Post

Feb 9, 2026

Swarmbotics AI: Why the US Army is betting on robotic mass - Calibre Defence

Feb 6, 2026

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Record createdAug 7, 2026
Added to the verified registry
Deployment recordedMar 23, 2026
FireAnt at Huntsville, Alabama, USA
Deployment recordedOct 27, 2025
FireAnt at Bryan, Texas, USA

Full change history →

Sources (2)

Common questions

What is Swarmbotics AI?

Defense robotics company developing attritable unmanned ground vehicles for swarm operations. Founded in 2023 by Drew Watson and Stephen Houghton. Its FireAnt sUGV is a low-cost, tracked hybrid-electric ground robot designed for swarm coordination, anti-armor missions, and situational awareness in high-risk environments. The U.S. Army tested FireAnt at xTechOverwatch in Texas in October 2025.

What does Swarmbotics AI make?

Swarmbotics AI has 1 robot model on the DEPLOY registry: FireAnt (Swarmbotics AI builds physical robots).

Where is Swarmbotics AI headquartered?

Swarmbotics AI is headquartered in Scottsdale, AZ, USA.

Where does Swarmbotics AI operate robots?

Swarmbotics AI is a robot manufacturer and does not directly operate deployments on the DEPLOY registry. Its products are deployed by customer operators; see the company page for the verified deployment record.

Is Swarmbotics AI a top robotics company?

On DEPLOY's intelligence score, which blends verified deployments, funding, hiring, media, safety, and IP signals, Swarmbotics AI ranks in roughly the top 84% of companies tracked by the registry.

When was Swarmbotics AI founded?

Swarmbotics AI was founded in 2023.

Is Swarmbotics AI safe?

Swarmbotics AI has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.

Methodology: Unreviewed · 2 sources (no primary) · last reviewed 2026-08-07

Verification posture

Unreviewed

Low confidence

Review state

Stable

Last reviewed 2026-08-07

Sources by quality tier

2: unclassified; Unclassified source

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

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Machine-readable surfaces

Markdown mirror: /companies/swarmbotics-ai.md
RSS feed: /companies/swarmbotics-ai/feed.xml
JSON-LD: embedded in this page’s head
REST API: /v1/companies/3e59a79c-c3c3-49e1-bb79-f0cbf0300db0
Revision history: /companies/swarmbotics-ai/history
Data documentation: /data
Query this programmatically: Deploy MCP

Reality vs attention

Swarmbotics AI draws attention at the 11th percentile but verifies reality at the insufficient-data level among defense_ugv robots.

RealityInsufficient datanot enough verified signal yet

Attention11thpctilemedia + video vs defense_ugv robots

Compared to defense_ugv robots →

Peer rankingTop 84% of Defense Ugv

vs funding peers-44.8 ptsbelow funding-adj. expected

Open the Hype Gap chart →

Analysis

Limited public visibility and press coverage relative to peers.

Dimension breakdown

Verified signal

Insufficient data

Insufficient data

Insufficient data

Insufficient data

Insufficient data

Attention (reach, not merit)

Market Presence →

0.0LOW

DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.

DEPLOY Indices — verified vs claimed

Claim Integrity Fleet Reality Operator Repeat All indices

Last computed: Aug 8, 2026

Methodology Intelligence layer