Robot model
NarGo
Twinny's NarGo is an autonomous mobile robot for warehouse order picking that operates without infrastructure markers or beacons using 3D LiDAR-based…
- Manufacturer
- Twinny
- Form factor
- amr
- Maturity
- commercial
- Lifecycle
- active
- Deployments
- 3
- Website
- twinny.ai ↗
The verified answer
As of Oct 2026, DEPLOY verifies NarGo, a amr by Twinny (commercial): 3 verified deployments on record. 2 sources back the record.
Appears inLogistics robots
Overview
Twinny's NarGo is an autonomous mobile robot for warehouse order picking that operates without infrastructure markers or beacons using 3D LiDAR-based self-location estimation. The system operates as a cart train where multiple carts follow a leading unit, and the company claims the platform reduces worker picking labor costs by up to 64.4%.
Twinny, founded in 2015 in South Korea, has deployed NarGo at logistics operators including Yongma Logis and raised a $13.7M Series C in March 2026.
Verified vs. claimed
- Maturity stage
- commercial(Commercially deployed with revenue-generating operations.)
- Sources on file
- View all sources →
Key facts
Form factor
Navigation
Labor cost reduction
Use case
Specs
Navigation
Labor cost reduction pct
Data & sources
Web sources
2
2 sources backing this record.View all →
Pricing
No verified price is on record for NarGo. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Deployments (3)
Combined NarGo+TarGo model being tested at a hotel in Jinju, ~434km south of Seoul.
NarGo robots deployed across multiple South Korean logistics centers, warehouses, and factories for order picking and material transport.
10 NarGo 60 units supplied to DMV-area public institutions (libraries, community centers, food banks) via Korea's Public Procurement Service export pilot program.
NarGo on the deployment map
View the global mapWhere NarGo is verified operating. Explore the deployment map by place and type.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 27, 2026
Added to the verified registry
- Deployment verifiedVerifiedAug 22, 2025
at Washington DC / Maryland / Virginia (DMV), USA
- Deployment verifiedVerifiedSep 23, 2022
at Jinju, South Korea
- Deployment verifiedVerifiedSep 23, 2022
at South Korea (logistics centers & warehouses)
Safety record
No incidents on record for NarGo.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (2)
- TWINNY - autonomous robot technology · https://twinny.ai/eng_all
- Twinny introduces autonomous logistics robot Nargo Order Picking · https://us.aving.net/news/articleViewAmp.html?idxno=53243
Common questions
What is NarGo?
How much does NarGo cost?
Is NarGo actually deployed in the real world?
Who makes NarGo?
Where is NarGo deployed?
Can you buy NarGo?
What are alternatives to NarGo?
How does NarGo compare to LocusBot?
Is NarGo a top amr?
What is NarGo's maturity stage?
Is NarGo safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-08-21
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-21
Maturity + lifecycle
Maturity stage: commercial
Lifecycle: active
Architectural position
Cohort: amr
Sources by quality tier
- 2
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for NarGo.Recent coverage
NarGo in third-party press
Attention vs reality over time
Media mentions per month (area) against verified deployment events (dots). A press spike over a flat deployment line is the hype gap, drawn over time.
In the press
Recent coverage mentioning NarGo from third-party publications. Automatically surfaced; not part of the verified registry record.
Machine-readable surfaces
- Markdown mirror: /models/twinny-nargo.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/405388c0-d9bb-4e03-b2d3-cb63ce9802f3
- Revision history: /models/twinny-nargo/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
NarGo draws attention at the 5th percentile but verifies reality at the 70th percentile among AMRs. Hype Gap -65, 44th widest among AMRs.
6-month trend
Analysis
Limited independent press and video coverage to date.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
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
Last computed: Oct 2, 2026