Our Technology

Purpose-built AI systems trained specifically on Southeast Asian palm oil data. From satellite to robot, every component is designed for this mission.

AI & Computer Vision

State-of-the-art models trained on proprietary palm oil datasets

YOLOv8x

Object Detection

Real-time palm tree and FFB detection with 95.8% accuracy

95.8%
accuracy
200ms
speed
30+
fps

SegFormer-B2

Semantic Segmentation

Pixel-level plantation mapping and canopy analysis

89.2%
mIoU
5cm
resolution
Full
coverage

RT-DETR

Real-time Detection

Transformer-based detection for complex scenes

94.1%
accuracy
150ms
speed
36M
params

Custom NDVI

Health Analysis

Multispectral health assessment model

5+
bands
Real-time
alerts
5yr
history

Proprietary Palm Oil Dataset

Our models are trained on the largest annotated palm oil dataset in the world—collected across Malaysia, Indonesia, and Thailand. Multiple cultivars, soil types, and climate conditions. This is our moat.

Robotics & Hardware Integration

Complete closed-loop from sensors to actuators

Perception

  • LiDAR
    360° environment mapping
  • Multispectral Camera
    Beyond visible light sensing
  • Depth Camera (RGB-D)
    3D fruit localization
  • IMU
    Precise motion tracking
  • GPS-RTK
    Centimeter-level positioning

Decision

  • VLM
    Vision-Language Models for scene understanding
  • VLA
    Vision-Language-Action for task execution
  • V-JEPA
    Self-supervised path planning
  • Safety AI
    Constraint-aware decision making

Execution

  • 3-Segment Arm
    10m reach to canopy
  • Precision Cutting Tool
    FFB harvesting end-effector
  • UGV Chassis
    All-terrain navigation
  • Collection System
    Automated fruit handling

Coordination

  • ROS2
    Robot Operating System 2
  • Fleet Control
    Multi-robot coordination
  • 5G/LoRa
    Reliable communication
  • GIS Sync
    Real-time data pipeline
SensorAI DecisionRobot ActionGIS Sync

Complete closed-loop from perception to action

GeoAI Platform

From satellite to dashboard in minutes

Data Sources

Sentinel-2ESA
10m5 days
PlanetPlanet Labs
3mDaily
MaxarMaxar
30cmOn-demand
DJI DronesSYNGA
5cmCustom

Processing

Google Earth Engine
GDAL
PostGIS
Cloud Optimized GeoTIFF

Visualization

MapLibre GL
Deck.gl
Custom WebGIS
Digital Twin

Edge Deployment

Our models run on-device for real-time inference. No internet required. Perfect for remote plantation areas.

Raspberry Pi 5
Edge Computing
Intel NCS2
Neural Accelerator
200ms
Inference Time
30+
FPS
5W
Power Draw
24/7
Operation

Built with industry-leading technologies

PyTorch
ONNX
TensorRT
ROS2
PostgreSQL
PostGIS
MapLibre
Deck.gl
React
Next.js
Python
Rust