Rebulk

Industrial-grade sensing meets modern AI

Rebulk combines LiDAR, computer vision, and volumetric modeling to continuously measure bulk inventory. Built for accuracy, reliability, and real-world conditions.

From sensor to dashboard

Data flows through four stages, transforming raw sensor readings into actionable inventory intelligence.

Sensors
Processing
3D Models
Dashboard
01

Sensors

Sensor Capture
High-resolution cameras and LiDAR sensors installed in storage facilities capture continuous data about bulk material piles. The sensor array operates 24/7 with no moving parts.
RGB cameras for visual context
LiDAR for depth and distance
Industrial-grade, weather-resistant
Minimal installation footprint
02

Processing

AI Processing
Raw sensor data is processed through proprietary computer vision and machine learning pipelines. The system identifies pile boundaries, classifies materials, and prepares data for 3D reconstruction.
Edge computing for low latency
Material classification models
Noise filtering and calibration
Continuous model improvement
03

3D Models

Volumetric Modeling
Point cloud data is reconstructed into precise 3D volumetric models. Each pile is measured with sub-percentage accuracy, and changes are tracked over time.
Point cloud reconstruction
Sub-1% volume accuracy
Change detection over time
Density-adjusted mass estimation
04

Dashboard

Operational Dashboard
Live inventory data is delivered through an operational dashboard. Teams access real-time volumes, historical trends, alerts, and reporting tools.
Real-time inventory levels
Historical trend analysis
Automated alerts and reports
API integration available

Built for industrial reality

Every component is designed for the demands of real-world bulk material environments.

Computer Vision
Purpose-built vision models trained on industrial bulk materials. Handles complex geometries, varying lighting conditions, dust, and material overlap.
LiDAR Sensing
High-precision depth sensing provides millimeter-level accuracy for surface mapping. Works in all lighting conditions including complete darkness.
AI Infrastructure
Machine learning models continuously improve from deployment data. Edge processing ensures low-latency results with cloud backup for analytics.
Real-Time Processing
Data flows from sensors to dashboard in near real-time. No batch processing delays. Inventory levels update continuously as materials move.
Industrial Reliability
Designed for harsh industrial environments. Dust, temperature extremes, vibration, and weather do not impact system accuracy or uptime.
Fast Deployment
Sensor installation takes days, not months. Non-intrusive mounting requires no structural modifications. System calibrates automatically.

Measurement you can trust

Rebulk delivers consistent, repeatable volumetric measurements that outperform manual methods by an order of magnitude. No more estimation gaps.

99%+volumetric accuracy

Validated against ground-truth laser scans and weigh-bridge data at deployed facilities.

Continuousmeasurement cycle

Updates every few minutes, not weekly or monthly. Track material movement as it happens.

Zeromanual intervention

Fully automated from sensor capture to dashboard delivery. No operator input needed.

Accuracy Comparison

Visual Estimation60-80%
Tape Measure / Manual80-90%
Periodic Drone Survey90-95%
Rebulk (Continuous)99%+

See the technology in action

Schedule a demo to see how Rebulk's sensor and AI pipeline can work at your facility.