Galileo OS provides a comprehensive industry solution covering all aspects of the factory 's digital transformation, helping you accelerate the digital process and avoid detours.

Galileo OS provides easy-to-use operation interface, flexible workflow and low-code development platform, allowing engineers to easily build industry applications, improve efficiency, and release innovation potential.

Galileo OS connects various devices and systems to collect massive data in real time. Through AI algorithms and analysis engines, it can gain insight into the value of data and promote intelligent decision-making and continuous optimization.

Galileo OS follows the open interoperability architecture, is compatible with new and old systems, and protects existing IT investments. Flexible integration and expansion mechanisms make your digital transformation path more stable and farther.

IoT Platform
Connecting Device

Connect various types of industrial equipment and sensors to achieve equipment data acquisition, monitoring and remote control. It lays a foundation for intelligent and predictive maintenance of equipment. Let the interconnection of all things become the starting point of industrial intelligence.
Data Center
Aggregate Data

Aggregate data inside and outside the factory, unify data standards and interfaces, and provide strong support for data analysis, mining and application. Let data become the core assets and competitiveness of enterprises.
AI Center
Intelligent Analysis

Integrates cutting-edge AI technology, provides industrial knowledge graph and pre-trained large model, and has a rich industrial AI algorithm library. Enable intelligent applications in industrial scenarios, so that AI-driven factory efficiency doubled.

Our consulting team provides end-to-end digital consulting services, from strategic planning, business combing to technology selection, to tailor your digital transformation roadmap. Make digital transformation targeted, reduce risks, and create greater value.

The hybrid cloud architecture has excellent scalability. One-click installation to achieve the simplest framework deployment. According to the user 's needs, the classification, cluster, industrial platform, and data center modules are automatically expanded, and the entire interface operation can be used to build an information system that adapts to different scales of enterprises without professional knowledge.

Abandon the independent data storage and non-standard interface mode of each system, and provide unified data storage, message service and function intermodulation specification. Each application system is oriented to platform programming, follows unified specifications, realizes application decoupling, and truly realizes data value.

Based on industrial microservices, fully considering the limited private cloud resources, integrating the dynamic deployment capability of IaaS, adding application cloning function, and comprehensively ensuring the reliability of industrial applications running locally.

The ' Galileo OS ' factory platform architecture is used for privatization deployment, hybrid cloud deployment, and public cloud services. The platform uniformly processes protocol interface service security encryption, eliminates data loss, tampering, and other issues. In the case of multi-system and multi-data, secure and effective maximum value data utilization is achieved.

Rich operating system and meta-application software, through the ' Galileo OS industrial platform ' can be one-click simple upload deployment, one-click subscription use. On the same industrial platform, multiple applications run at the same time, each system is interconnected, and the white design function is simple and easy to understand.

In response to the national industrial information call, to achieve their own social value. The product meets the needs of ' large ' ' medium ' ' small ' enterprises, making the factory information and digitization simple.

The ' Galileo OS ' intelligent factory platform provides a wealth of industrial application stores, covering manufacturing, production management, equipment management, safety production, operation management and other fields. Enterprises can quickly select and deploy the required applications according to their needs, and realize end-to-end digital management.

The ' Galileo OS ' smart factory platform deeply understands the importance of data and helps companies achieve a shift from experience-driven to data-driven. Through a unified data collection, storage and analysis framework, the platform can integrate massive data from various systems to form enterprise-level data assets.

The ' Galileo OS ' smart factory platform adopts the architecture design of ' one cloud, multiple terminals ', and supports the access and use of various terminal devices. Whether it is PC, tablet, mobile phone, or various industrial terminals such as PLC, HMI, SCADA, etc., can be seamlessly connected to the platform.
Gaozheng CementGaozheng Cement combines the characteristics of the cement industry, based on the ' Galileo OS ' intelligent factory platform, through data fusion, 3D twin, multi-terminal adaptation and other technologies, in the way of ' platform + application ', to achieve intelligent scenarios such as full life cycle management of production equipment, integrated optimization of quality and energy consumption, and supply chain collaboration. Through digital transformation, Gaozheng Cement has further improved the automation and intelligence level of production and operation, and created an industry-leading intelligent cement factory benchmark.
Chengdu Weilanxing Biotechnology Co., Ltd.Weilanxing based on the Galileo OS intelligent factory platform and integrating new technologies such as the Internet of Things and big data, a full process intelligent waste collection and disposal system has been constructed in a "platform+apps" model. The system realizes the full lifecycle management of garbage collection, disposal, and sale, real-time monitoring of environmental indicators, automatic optimization of production and disposal processes, and visual control of safety production. Through digital means, Tiantou Blue has significantly improved the efficiency of waste disposal and the level of compliant emissions, building a leading smart environmental protection benchmark enterprise in the industry.














Industrial edge AI deployments face a compute gap between deterministic OT control (IEC 61131-3 compliant PLCs) and stochastic neural network inference (CNNs/Transformers). This white paper evaluates hardware alternatives through multi-objective optimization: latency/jitter, workload consolidation, SWaP-C (Size, Weight, Power, Cost), I/O determinism, thermal headroom, and 10-15 year MTBF. Legacy PLC+vision lacks dynamic model flexibility; IT-grade GPU servers (1U/2U) fail in 600mm-deep cabinets due to airflow/vibration issues; standard IPCs with add-on GPUs suffer PSU derating and hotspots. Specialized industrial AI boxes integrate heterogeneous CPU/NPU/FPGA on rugged carriers, enabling NVMe-to-NPU DMA for <1ms trigger-to-inference, galvanic-isolated I/O, and conduction cooling for 50W+ TDP in -40°C to 85°C envelopes. Use-case matrices demonstrate 5-10x latency gains in high-speed sorting and AGVs. Long-term TCO favors architectural fitness, averting downtime from thermal throttling (~$50k/hour) and integration overheads.
Industrial Edge AI appliances outperform legacy/IT alternatives in determinism, SWaP-C, and MTBF, resolving OT-AI tensions. Key wins: <1ms jitter via FPGA triggers, conduction cooling for harsh envelopes, NPU efficiencies (20+ $TOPS/Watt). Matrices validate ms-latency sorting, sensor ingest, AGVs. Thesis: Fitness trumps peak TOPS, slashing TCO 40-60%.
This whitepaper rigorously evaluates industrial edge AI boxes against PLC+vision, GPU servers, and IPCs across latency, SWaP-C, and lifecycle metrics. Heterogeneous architectures deliver unmatched determinism (<100µs jitter), efficiency (0.4 TOPS/W), and resilience (1M hrs MTBF), slashing TCO in OT scenarios.
This white paper rigorously dissects trade-offs in industrial edge AI hardware, benchmarking specialized appliances against PLC+VISION, IT GPU servers, and IPC add-ons. Key findings: heterogeneous NPU/FPGA designs deliver sub-ms determinism, superior SWaP-C ($TOPS/Watt$ >10), and 1M+ hour MTBF, resolving latency, thermal, and I/O pain points absent in alternatives. Matrices validate superiority in sorting, maintenance, AGVs. Long-term TCO favors fitness, cutting downtime 40%.
This analysis quantifies why industrial edge AI appliances outperform alternatives in OT-critical metrics: <1ms latency, 15yr lifecycle, SWaP-C optimization. Avoid mismatch pitfalls for 50% TCO gains.
0+
Intellectual Property
0Year
IoT Technology Accumulation
0+
Industrial Cooperation Cases
0K
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