Overview
Czech Republic (Prague) maker of a no-code platform that teaches industrial robots surface-finishing tasks such as painting, grinding and polishing by demonstration, automatically generating the robot program.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Robot
Technology
Developer
Technology
Financial stage
Data & sources
Web sources
1
1 source backing this record.View all →
RoboTwin on the deployment map
View the global mapRoboTwin has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.
No verified deployments for RoboTwin on the DEPLOY record yet. Track RoboTwin to know the moment the first one is verified.
Safety record
No incidents on record for RoboTwin.
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
RoboTwin in third-party press
Financial state
- Reporting basis
- private_reported
- Lifecycle stage
- early
- Counterparty risk class
- moderate
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.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 27, 2026
Added to the verified registry
Sources (1)
Common questions
What is RoboTwin?
What does RoboTwin make?
Where is RoboTwin headquartered?
Is RoboTwin a top robotics company?
When was RoboTwin founded?
Is RoboTwin safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-08-05
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-05
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for RoboTwin.In the press
Recent coverage mentioning RoboTwin from third-party publications. Automatically surfaced; not part of the verified registry record.
Back to school: robots learn from factory workers
By Anthony King What if training a robot to handle dirty, dangerous work on the factory floor was as simple as showing it how? Czech startup RoboTwin is doing exactly that,…
RoboTwin: Universal model for bimanual robot manipulation
RoboTwin creates a universal model that generalises across robot platforms, controlled by natural language for dual-arm manipulation tasks.
RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025
RoboTwin featured at CVPR 2025 MEIS Workshop with dual-arm collaboration simulation challenge for embodied AI.
RoboTwin: Digital Twin Simulation for Dual-Arm Robots
RoboTwin creates diverse data generator for dual-arm robots using digital twin simulation framework for scalable data generation.
RoboTwin Brings Virtual Reality To Factories
RoboTwin creates realistic VR simulation of manufacturing factories based on real-world data. Developed by ITRI with Sim2Real AI technology.
Machine-readable surfaces
- Markdown mirror: /companies/robotwin.md
- RSS feed: /companies/robotwin/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/5b2ee429-e3a9-4cc7-adae-57c580455f91
- Revision history: /companies/robotwin/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place RoboTwin against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Limited public visibility and press coverage relative to peers.
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: Aug 17, 2026