sanuyi.com

What It Is

Sanuyi is positioned for the Industrial 4.0/5.0, IoT, edge computing, and enterprise storage markets, with a core proposition of helping users regain control over “their own data.” Its product lineup includes SensorTIER, StorTIER, FleetSTATS, and PrivaTIER/CentreTier, covering the pipeline from raw data collection and cleansing at the edge to storage, cloud-based metadata visualization, and data supply for AI models.

Core Features and Deployment

The most complete information currently available is for SensorTIER. It can collect data from IoT devices, cameras, CAN bus, SCADA, and industrial sensors; perform filtering, cleansing, standardization, and enrichment at the edge; and then pass meaningful data into the storage and analytics stack. It supports protocols such as CAN, MQTT, Modbus, and RTSP, and provides local buffering, retries, fail-safe logic, and secure device onboarding. Deployment is edge- and on-prem-oriented, with support for running on-prem, on a gateway, or as an appliance. FleetSTATS is described as using the ELK stack to push metadata to the cloud for visualization, making it suitable for large-scale device management. StorTIER and PrivaTIER, however, remain at the conceptual description stage.

Pricing, Security, and Developer Support

The website does not disclose plans, pricing, free trials, payment methods, or the purchasing process, making it difficult to assess overall value for money. On security, it only mentions “securely captures,” “secure device onboarding,” and ownership of raw data, without details on encryption, access control, audit logs, SLA, or compliance certifications such as ISO/SOC. There is also no visible information on APIs, SDKs, developer documentation, or a third-party ecosystem. Aside from protocol support, the ELK stack, and native integration with its own StorTIER/FleetSTATS, its broader integration capabilities still need further confirmation.

Pros, Cons, and Who It’s For

Its strengths are a clear focus on industrial sensors, edge gateways, device fleets, and local AI data preparation. It emphasizes reducing noise, bandwidth usage, and cloud storage costs while supporting low-latency decision-making. The drawbacks are limited public information: beyond SensorTIER, the other modules do not yet provide enough functional detail to evaluate, and there are no customer cases or commercial terms available. It is better suited to enterprises with industrial IoT, edge data governance, and device monitoring needs that are willing to engage deeply with the vendor on a tailored solution. Access from China, payment options, and service support are unknown; domestic alternatives to compare include Alibaba Cloud IoT Edge, Huawei Cloud IoT Edge, EMQX, and ThingsBoard.