We only make money when you save
Contact Us
trusted partner
Use cases
All Use Cases
Partner faced with substantial rework costs and schedule overruns due to inaccurate BIM models, especially in MEP (Mechanical, Electrical, and Plumbing) systems.
This case demonstrates that replacing manual MEP verifications with Video-to-Data AI significantly lowers construction overhead, expedites timelines, and creates a reliable data foundation for ongoing predictive maintenance.
Find Out More
Problem: Manually creating a BIM model for large-scale projects was slow and costly.
Solution: AI automated BIM generation from drone video and point cloud data, reducing manual workload.
Results:
• Created a LOD 300 BIM model for a 1,000 m² area in hours
• Improved scalability and project efficiency
Find Out More
AI-Driven Document QA
(Manchester, UK)
Problem: Construction companies faced up to 20% errors in project documentation, leading to costly mistakes and delays.
Solution: AI automated document quality checks, ensuring accuracy across naming conventions, metadata, and compliance.
Results:
• Reduced rework by 90%
• Cut manual verification time by 50%
Find Out More
AI-Powered Bridge Inspection (Global)
Problem: Manual bridge inspections were slow, expensive, and involved safety risks for personnel.
Solution: AI analyzed drone images and 3D scans to detect cracks, corrosion, and structural issues.
Results:
• Inspections completed 5x faster
• Increased defect detection accuracy to 80%+
Find Out More
Problem: Lengthy approval cycles and inefficient coordination between construction phases.
Solution: AI streamlined feasibility studies, procurement, and construction workflows.
Results:
• Reduced administrative overhead by 30%
• Improved decision-making speed by 25%
Find Out More
Structural Engineering & Construction Optimization (Sydney, Australia)
Problem: Manual processes slowed down structural and geotechnical engineering workflows.
Solution: AI automated defect detection, data exchange between platforms, and model optimization.
Results:
• Reduced engineering time by 30%
• Streamlined cross-platform data exchange and analysis
Find Out More
Problem: The municipality needed a comprehensive 3D inventory of its infrastructure for planning and maintenance.
Solution: AI integrated LiDAR, OpenStreetMap data, and aerial imagery to create a Digital Twin.
Results:
• Generated a full 3D city model in 12 days
• Provided real-time data updates for city planning
Find Out More
Problem:
Mining operations suffer from untracked ore loss and undetected process inefficiencies, costing hundreds of thousands annually.
Solution:
AI analyzes site video to detect ore loss, optimize loading, and flag production defects — with 48-hour reporting and heatmaps.
Results:
• Recovered up to 3% of ore, worth $200K/year
• Reduced process-related losses 10-20%
• Delivered ROI, no hardware changes needed
Find Out More
Expertise
Video-to-Data technology enables us to recognize and segment any object in the video and extract valuable data and insights with big data processing technologies
Video-to-Data AI
Automatic labeling of objects in video streams and transforming them into precise models
3D Point Cloud Segmentation
Rapid identification of primary elements (walls, beams) and minor details (pipes, fasteners)
SLAM & Sensor Fusion
Gathering data from drones, LiDAR, and cameras for continuous 3D map updates
Fused BIM Reconstruction
Combining 2D and 3D data to reduce manual labor and enhance BIM accuracy
Neural Radiance Fields (NeRF)
Generating 3D scenes from a minimal set of source images
Predictive Analytics & Monitoring
Forecasting delays, ensuring quality control, and optimizing resource usage
Areas of integration
AI and advanced technologies boost efficiency, reduce costs, and enhance decision-making in various industries
Construction and Engineering
BIM automation, quality control, project timeline prediction, and workflow optimization
Facility Management
Predictive maintenance, energy management, and digital twin creation
Smart Cities and Transportation
Smart grid optimization, traffic flow analysis, and intelligent resource distribution
Manufacturing and Industrial
Defect detection, inventory management, and supply chain optimization
Mining and Extraction
Drone data analysis, safety monitoring, and site condition tracking
continuous learning
At Lepei, we constantly explore the frontier of AI. From Vision-Language Models (VLMs) for real-time 3D segmentation to cutting-edge Neural Radiance Fields (NeRF), our R&D team is shaping the next generation of AI-driven solutions.
Lepei leverages next-generation WildGS-SLAM, a breakthrough in AI-driven spatial understanding that transforms ordinary monocular video into a real-time 3D map with camera positioning—without LiDAR, IMU, or expensive hardware.
Powered by Gaussian Splatting and Bayesian neural networks, this system adapts to dynamic, noisy, and imperfect environments—construction sites, mines, ports, or moving vehicles—where traditional SLAM fails.
Key business benefits:
Cost reduction: replaces costly sensors with standard RGB cameras (e.g., smartphone or CCTV).
Operational reliability: works in dust, fog, motion, and unstable settings.
Deployment flexibility: enables real-time mapping and inspection even in unfinished or hazardous locations.
Data ownership: capture your own spatial data anytime, anywhere, with zero dependency on high-end hardware.
This is SLAM built for reality, enabling companies to digitize, inspect, and navigate physical environments with unprecedented flexibility and scalability.
At Lepei, we’re already integrating these systems to power next-gen inspection, navigation, and digital twin solutions across industrial sectors.
At Lepei, we are applying Segment Anything 3D (SAM-3D) – a powerful fusion of 2D computer vision and 3D spatial data – to extract meaning from complex environments without manual labeling.
How it works:
We take a 3D scan (from LiDAR, photogrammetry, drones).
Project it into 2D → apply Meta’s Segment Anything Model (SAM).
Then project it back into 3D → fully segmented, semantically rich 3D point cloud.
What this enables for businesses:
No BIM or annotations needed to extract key structures (walls, doors, windows, pipes).
Accelerated digital inventory of buildings, industrial sites, or mines.
Automatic compliance checks between design plans and as-built conditions.
Faster onboarding of brownfield assets into digital workflows or twin systems.
This is a game-changer for industrial environments where speed, cost, and automation matter.
At Lepei, we’re already using SAM-3D to bridge the gap between raw 3D data and intelligent decision-making—with no BIM dependency, and no manual overhead.
How it works
What Awaits You with Lepei?
We’re not about complicating things. Here’s our simple 4-step journey to elevate your project with AI.
Discovery & Consultation
Plan & Propose
Implement & Integrate
Monitor & Optimize
Get In Touch