Galileo OS offers comprehensive vertical solutions covering every stage of industrial digitalization, helping you mitigate risks and accelerate time-to-value.

Equipped with an intuitive interface, flexible workflows, and a low-code development environment, Galileo OS allows engineers to deploy custom industrial apps and unlock innovation.

Seamlessly connect disparate devices and systems to ingest massive datasets in real time. Our AI-driven analytics turn raw data into actionable insights for continuous process optimization.

Built on an open, interoperable architecture, Galileo OS is compatible with legacy systems and modern IT stacks, protecting your existing investments while ensuring future-proof scalability.

IoT Platform
Device Connectivity

Connect diverse industrial assets and sensors for real-time monitoring and remote control. Establish the foundation for predictive maintenance and a fully interconnected industrial intelligence ecosystem.
Data Center
Data Orchestration

Unify fragmented data sources by standardizing protocols and interfaces. Transform raw plant data into a core strategic asset to drive enterprise competitiveness.
AI Center
Intelligent Analytics

Integrating cutting-edge Industrial AI and pre-trained Large Language Models (LLMs). Deploy specialized industrial algorithms to double operational efficiency through intelligent automation.

Our expert consultants provide end-to-end guidance, from strategic roadmapping and business process re-engineering to technology selection. We tailor a transformation path that reduces risk and maximizes ROI.

Our hybrid cloud architecture offers exceptional scalability with one-click deployment. Automatically scale clusters, industrial modules, and data centers to fit any enterprise size without requiring extensive IT overhead.

Eliminate data silos with unified storage and standardized messaging protocols. By decoupling applications from the platform, we ensure cross-system interoperability and true data value realization.

Built on an industrial microservices architecture, our platform optimizes private cloud resources and includes application cloning to ensure 24/7 reliability for local industrial operations.

Whether deployed via private, public, or hybrid cloud, Galileo OS provides end-to-end encryption and secure protocol handling to prevent data tampering and ensure maximum data integrity.

Featuring a rich ecosystem of 'Meta-Applications' available via one-click subscription. Our white-label-ready, minimalist design ensures that multiple interconnected systems remain easy to manage.

Aligned with global Industry 4.0 standards to deliver high social and economic value. Our solutions are priced to meet the needs of SMBs and large-scale enterprises alike, making digitalization accessible.

The Galileo OS App Store provides a curated selection of industrial software covering production management, asset maintenance, EHS safety, and operational intelligence for rapid deployment.

Transition from experience-based to data-driven management. Our framework integrates massive datasets from disparate systems to build a comprehensive enterprise data asset library.

Utilizing a 'One Cloud, Multiple Terminals' architecture, our platform supports seamless access via PC, tablets, smartphones, and industrial interfaces like PLC, HMI, and SCADA.
Strategic Cement Facility ModernizationA leading cement producer utilized Galileo OS to integrate 3D Digital Twin technology and multi-terminal data fusion. By adopting our 'Platform + Application' model, they optimized the full asset lifecycle, energy consumption, and supply chain collaboration, establishing a global benchmark for smart cement manufacturing.
Intelligent Environmental Waste ManagementIn partnership with a major biotechnology firm, we deployed an end-to-end intelligent waste disposal system. Leveraging IoT and Big Data, the system automates the collection-to-disposal lifecycle, provides real-time emission monitoring, and optimizes production safety, achieving industry-leading compliance and operational efficiency.














This white paper quantifies a quad-core ARM + 64/108 TOPS INT8 NPU architecture with LPDDR4X memory for industrial edge AI. Analysis covers ARM orchestration, NPU throughput sustaining 16+ HD channels, and memory-driven <10 ms latencies. Evaluations validate multi-channel decoding, model switching, dual 4K rendering, and zero-copy paths. Applications in defect detection, dashboards, and robotics confirm jitter-free performance. TCO benefits stem from 2.7 TOPS/W density, reducing OPEX 60% via consolidation.
This white paper quantifies how quad-core ARM + dual-tier 64/108 TOPS INT8 NPU, with 8/16GB LPDDR4X and 16+ HD video VPU, resolves edge bottlenecks in multi-channel inference, model switching, and 4K Digital Twin rendering. Analysis covers scheduling, throughput, and validations across machine vision, dashboards, and robotics, emphasizing deterministic latency and TCO reductions.
This white paper analyzes quad-core ARM + 108 TOPS NPU architectures with LPDDR4X memory for industrial edge AI. Key metrics include sustained 16+ HD channel decoding, <5 ms E2E inference-to-control latency, and dual 4K rendering stability. Quantitative breakdowns cover task scheduling, NPU tensor allocation, memory throughput (51 GB/s), and zero-copy data paths, validated in defect detection, dashboards, and robotics. The design achieves 2-5x efficiency over alternatives, reducing TCO by 40% through compute density and reliability.
This white paper dissects a quad-core ARM + dual-tier NPU (64/108 TOPS INT8) architecture with 16GB LPDDR4X and 16+ channel VPU for Industrial AI edge. Quantitative analysis covers task scheduling, inference partitioning, memory throughput, and zero-copy datapaths, validating sub-20 ms latencies in video processing, Digital Twin rendering, and robotics. Applications demonstrate jitter-free defect detection and multi-robot fusion, underscoring TCO benefits through compute density and power efficiency.
This white paper dissects ARM + NPU edge architectures delivering 64/108 TOPS INT8, 16+ HD video channels, and LPDDR4X memory for industrial AI. Quantitative analysis covers scheduling, inference partitioning, memory throughput, concurrent workloads, and validations in vision, dashboards, and robotics, emphasizing compute density and sub-10 ms latencies for deterministic edge execution.
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Access Equipment
National High-tech Enterprise
Sichuan High tech Enterprise
"Galileo Platform"Rapid Deployment
Implementation Team one-on-one
National Industrial Internet
Alliance Working Group Core unit