Industrial Large Spatial Model for Real Operations
Building an industrial Large Spatial Model that learns 2D/3D data and infers process-critical information for logistics and manufacturing.
Our expert consulting team will propose the optimal solution tailored to your requirements.
Plug-and-Play Robot AutomationLogistics & Manufacturing Innovation
Ready-to-deploy 3D spatial intelligence robot automation solution with no custom development required. Proven innovative technology first chosen by major domestic automotive manufacturers, large shipyards, and other enterprises.
Problem Solving
Traditional: Massive costs and time investment required for robot deployment through system integrators with extensive custom development
LiOps: LiOps: Immediate deployment powered by an industrial Large Spatial Model and robotics stack, without heavy custom development.
Technical Advantage
World #1 in 3D Segmentation: Global top ranking in autonomous driving core technology
Superior performance compared to global companiesVision-based Self-recognition Technology: Revolutionary technology that allows robots to recognize their own body and control in real-time with a single sensor
Core 3D Technologies
Implementing spatial intelligence that understands complex sites like humans with world-class 3D Segmentation technology
3D Segmentation
World #1 3D spatial recognition technology
- Real-time dynamic/static object discrimination
- 99% precise path calculation
- 81% obstacle avoidance performance improvement
3D Registration
CAD file and real object matching technology
- Assembly process progress evaluation
- 100% matching success rate
- Automatic welding line detection
3D Reconstruction
NeRF-based real environment simulation
- Photo/video → 3D data conversion
- 95% simulation success rate
- Significant integration cost reduction
Transparent Object Recognition
Depth information inference technology for transparent objects
- 77% depth error reduction
- Pick & Place error minimization
- 30% → 2% error rate improvement
Industrial LSM Core
A large spatial model that understands industrial 3D scenes and transfers across tasks.
- Self-supervised 3D representation learning
- Multi-task inference across detection, segmentation, registration, and retrieval
- Fast adaptation to new sites and sensors
Hybrid Mapping
Camera + 3D LiDAR fusion technology
- Real environment-based zone setting
- Remote configuration capability
- Easy modification without factory visits
Industrial Large Spatial Model Platform
An industrial Large Spatial Model platform integrating 3D Segmentation, Registration, and Reconstruction. It learns spatial context from 2D/3D inputs and infers process-critical information for real operations.
Battle-tested Solutions
3D spatial intelligence robot solutions first chosen by major domestic automotive manufacturers, shipyards, and heavy industry companies
3D AMR Logistics Solution
Complete Pick & Place automation
Key Features
- Annual $12M labor cost savings (56→9 staff)
- 6x faster than manual work (450 picks/h)
- 77% transparent object precision improvement
- Cost recovery within 12 months
Shipyard Automation Solution
Ship component progress tracking & movement timing prediction
Key Features
- 100% PoC success at major shipyard
- Deployment discussions underway with major domestic shipyards
- 3D Registration-based
- Patent application and priority examination completed
Autonomous Forklift
Fully autonomous 3D deep learning forklift
Key Features
- Loading/unloading automation project contracted with major automotive manufacturer
- Free navigation without fixed routes
- 99% precise path cumulative error
- 81% obstacle avoidance performance improvement
3D Welding Automation
Single sensor-based 3D cognition welding robot
Key Features
- Negotiations underway with major heavy industry company
- Superior efficiency vs direct teaching method
- Automatic welding line detection
- 1 person per 2 robots → Complete automation
Proven Results, Guaranteed ROI
With technology verified by major domestic automotive manufacturers and shipyards, investment recovery is possible within 12 months at 30% lower cost than competitors.
Young but Proven Team
Team with first-hand industry experience, targeting global markets with Korea's top 3D Reconstruction and Segmentation technology
Heejoon Park
Co-CEO / CBO
Seoul National University Computer Science, RECON Labs MLOps Engineer, 8-year fullstack developer
Seungyeob Seon
Co-CEO / CAIO
Chung-Ang University Computer Science, Hyundai Mobis Autonomous Driving Researcher, World #1 in 3D Segmentation
Bumgyu Bae
Robotics Lead
Seoul National University Mechanical Engineering, Seoul Science High School, Physics Olympiad Summer School, Biorobotics Lab
World #1 3D Segmentation Technology
Shows significantly superior performance compared to models from global autonomous driving leading companies. Proved the highest level of technology by recording world #1.
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Contact Information
contact@liops.ai
Phone
+82-10-6743-7876
Address
510-ho, 25 Yeonmujang 5ga-gil, Seongdong-gu, Seoul