From Vietnam · For Asia
AUTOMATE
YOUR WAREHOUSE
WITH AI
Saigon Dynamics engineers autonomous mobile robots and fleet management software that make smart warehouses accessible across Southeast Asia.
What we do
BUILT FOR
REAL OPERATIONS
Autonomous Navigation
Hybrid SLAM with LiDAR, depth cameras, and odometry for sub-cm localization in dynamic environments.
Fleet Intelligence
AI-powered dispatch, real-time traffic management, and predictive maintenance across 100+ robots.
Safety Certified
ISO 3691-4, IEC 61508 SIL2, and regional compliance for human-robot collaboration zones.
Open Integrations
Pre-built connectors for MES, WMS, and REST APIs for custom ERP systems.
Software Platform
ONE PLATFORM.
TOTAL CONTROL.
Fleet Control Center (FCC) connects every robot, mission, and metric into a single command center. Deploy faster, optimize continuously, and scale without limits.
SG-D Fleet Control Center (FCC)
Unified Fleet Management Platform
SG-D Digital Twin
Real-Time Operational Intelligence Platform
SG-D Insights
Operational Intelligence & Analytics
Software
Insights
Data-driven analytics for actionable insights
Why SG-D
BUILT FOR
PRODUCTION
From site survey to full fleet operation in under 15 days — no floor modifications, no reflector installation, no disruption to live operations.
Predictive maintenance alerts and autonomous charging scheduling keep fleets running continuously across multi-shift, 24/7 operations.
Full VDA5050 V3 compliance means SG-D robots interoperate with any certified WMS, MES, or third-party fleet — no proprietary middleware required.
Latest updates
NEWS &
INSIGHTS
Global AMR and AGV Market Growth: How Autonomous Robots Are Transforming Industry
Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) are reshaping warehouses and factories worldwide as companies accelerate automation, improve efficiency, and address labor challenges.
Fleet Control Center (FCC) 2.0: AI-Driven Route Optimization Now Available
The biggest update to our fleet management platform introduces reinforcement-learning-based traffic control and a redesigned operator dashboard.
AMR Navigation in 2026: SLAM, Natural Feature Navigation, and Infrastructure-Based Guidance Compared
A technical breakdown of the three dominant navigation approaches in modern autonomous mobile robots—and how warehouse operators should choose between them.