Company
CarbonSix
South Korean physical AI company developing robotic intelligence software and hardware for factory automation.
- Founded
- 2024
- HQ
- Wilmington, DE / South Korea
- Funding
- $44.0M
- Models
- 1
Verified profile
2
Sources on record
0
Tracked changes
Updated recently
Last verified change
Overview
South Korean physical AI company developing robotic intelligence software and hardware for factory automation. Founded in 2024, CarbonSix combines AI-powered imitation learning with precision robotic manipulators to automate variable, labor-intensive manufacturing tasks. Its SigmaKit toolkit enables robots to learn directly from human demonstrations, eliminating traditional programming requirements. The company's products are already deployed in commercial manufacturing environments, using a proprietary data flywheel that continuously improves AI models from real-world factory operations. CEO Tae-yeon Terry Moon previously co-founded SUALAB, an industrial AI vision company acquired by Cognex.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
DEPLOY Intelligence
Market intelligence for physical AI
Analyst-grade signals, competitive tracking, and investment context across the global physical AI landscape. Launching 2026.
Models (1)
View all models →Relationships
Current leadership (3)
- Tae-yeon Terry Moon Co-Founder & CEOreported, not verified
- Jehyuk Kim Co-Founder & Co-CEO / CHOreported, not verified
- H.J. Terry Suh CTOreported, not verified
Founders (2)
- Tae-yeon Terry Mooncofounder
- Jehyuk Kimcofounder
Safety record
No incidents on record for CarbonSix.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Recent coverage
CarbonSix in third-party press
Peer companies
- DJI7 models
- Boston Dynamics5 models
- ATI Industrial Automation2 models
- Embodied2 models
- EverestLabs2 models
- Forth Engineering2 models
Financial state
- Reporting basis
- private_reported
- Lifecycle stage
- early
- Counterparty risk class
- low
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Funding rounds (2)
- Series A2026-07-01
$40M(reported)
Investors: DSC Investment, LB Investment, IMM Investment, Korea Development Bank, SV Investment, Cortentia, ASQ, Foothill Ventures, Storm Ventures, Zeitgeist Capital, Xquared, CarbonBlack Fund
- Seed2025-04-01
$4M(reported)
Investors: Foothill Ventures, Storm Ventures, Zeitgeist Capital, Xquared, CarbonBlack Fund
Sources (2)
Common questions
- What is CarbonSix?
- South Korean physical AI company developing robotic intelligence software and hardware for factory automation. Founded in 2024, CarbonSix combines AI-powered imitation learning with precision robotic manipulators to automate variable, labor-intensive manufacturing tasks. Its SigmaKit toolkit enables robots to learn directly from human demonstrations, eliminating traditional programming requirements. The company's products are already deployed in commercial manufacturing environments, using a proprietary data flywheel that continuously improves AI models from real-world factory operations. CEO Tae-yeon Terry Moon previously co-founded SUALAB, an industrial AI vision company acquired by Cognex.
- Where is CarbonSix based?
- CarbonSix is based in Wilmington, DE / South Korea.
- When was CarbonSix founded?
- CarbonSix was founded in 2024.
- What does CarbonSix make?
- CarbonSix has 1 robot model on the DEPLOY registry: SigmaKit (CarbonSix builds physical robots).
- Where does CarbonSix operate robots?
- CarbonSix 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 CarbonSix safe?
- CarbonSix 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: Verified · 2 sources (no primary) · last reviewed 2026-07-02
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-07-02
Sources by quality tier
- 2
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for CarbonSix.Peer companies
- DJI7 models
- Boston Dynamics5 models
- ATI Industrial Automation2 models
- Embodied2 models
- EverestLabs2 models
- Forth Engineering2 models
In the press
Recent coverage mentioning CarbonSix from third-party publications. Automatically surfaced; not part of the verified registry record.
CarbonSix Raises 0 Million Series A to Scale Physical AI for Manufacturing
CarbonSix raised 0M Series A co-led by DSC Investment and LB Investment to expand deployment of its Physical AI platform for manufacturing.
CarbonSix says its toolkit brings robot imitation learning to the factory floor
CarbonSix launched SigmaKit, the first commercially available industrial robot AI solution based on imitation learning, for factory floor deployment.
Physical AI Startup CarbonSix Unveils Industry-First Imitation Learning Toolkit
CarbonSix unveiled SigmaKit, combining AI algorithms, precision grippers, teaching tools, and sensor modules for manufacturing automation.
CarbonSix Raises M Seed Funding Led by Top Silicon Valley VCs
CarbonSix announced M in seed funding from Silicon Valley investors including Foothill Ventures, Storm Ventures, and Zeitgeist Capital.
Machine-readable surfaces
- Markdown mirror: /companies/carbonsix.md
- RSS feed: /companies/carbonsix/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/a9039438-719d-45f1-a825-7782e565f80e
- Revision history: /companies/carbonsix/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Peer companies
- DJI7 models
- Boston Dynamics5 models
- ATI Industrial Automation2 models
- Embodied2 models
- EverestLabs2 models
- Forth Engineering2 models
Video
Each air conditioner model poses unique challenges — filters differ in position, angle, and shape, and can get stuck or deformed over time. SigmaKit adapts in r
Join our Robot Optimise Industry (ROI) Workshop: https://robophil.com/ Robots That Learn Like Humans? - CarbonSix SigmaKit Brings Imitation Learning to the Fac
Extracting a deformable timing belt from a transparent pouch requires synchronized dual-arm coordination and stable material separation. SigmaKit orchestrates r
Moving conveyors demand both precision and adaptability. SigmaKit grasps and places dumplings with stability, retrying automatically until the task is completed
Oscillating reflective hooks and positional variance in heavy objects challenge conventional surface treatment workflows. SigmaKit combines AI-based skill for a
DEPLOY Intelligence Score
53.2/ 100
Analysis
Funded with institutional backing on record. Limited public visibility and press coverage relative to peers.
Signal flags
Dimension breakdown
Funding Health
Safety Record
Market Presence
IP Activity
Deployment Scale
Hiring Signal
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.
Last computed: Jul 3, 2026
Intelligence layer