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Bring machines, sensors and enterprise systems together through Industrial IoT, machine data and system integration.
Bring machines, sensors and enterprise systems together through Industrial IoT, machine data and system integration.
Collect live machine telemetry, sensor readings and equipment data through connected industrial infrastructure.
Monitor live tags, machine status, process parameters and gateway health from a connected operational environment.
Bridge operational technology with enterprise systems through ERP, LIMS, historian and maintenance integrations.
Transform connected machine and process data into analytics, trends, SPC insights and actionable operational intelligence.
Use condition monitoring, equipment health data and machine performance trends to identify developing operational risks.
Connect equipment intelligence with preventive and predictive maintenance to support earlier intervention and more informed maintenance decisions.
Move from Machine Data → Connected Data → Insight → Prediction → Maintenance → Operational Action, creating a more connected and responsive industrial environment.
Narrow the gap between physical industrial assets and digital systems with robust OT connectivity, enabling premium syncing across your industrial ecosystem. Optimise sensor data and machine telemetry manipulation according to industrial communication standards and get uninterrupted data for better decisions from your machines.
Ensure only permitted users can access your data and workflow designs by enabling role-based permissions and a controlled access environment protected by identity detectors, encryption, MFA, job-based grouping tools, and least-privilege enforcement tools built into the Cerexio NexusOne platform to protect data integrity and security.
Harness contextual insights from your machines' data to bring actionable awareness to your factory team. Enable real-time data change triggers, prevent visibility gaps, and map data points to transform raw data into recognisable parameters using Cerexio SyncOne.
Eliminate data silos and automate bidirectional workflows across ERP, LIMS, historian, warehouse, and maintenance platforms through Cerexio SyncOne. The architecture utilises standard industrial protocols and messaging layers to facilitate real-time data exchanges such as production orders, laboratory results, and maintenance work orders.
Utilise this industrial data exchange framework to establish technical credibility by implementing rigorous engineering controls that ensure secure, accurate, and fully auditable data movement. Key architectural features such as interface authentication, SHA-256 message checksums, and automated error handling eliminate data loss and support compliance standards.
Gain the predictive and prescriptive intelligence advantages for better decision-making with Cerexio SyncOne. Capture time-series data, event frames, process values and historical telemetry to integrate data processes while considering operational histories to make your future data-driven decisions more logical, risk-free and faster.
With seamless IoT connectivity and AI capabilities, CerexioSyncOn enables a comprehensive, intuitive dashboard to analyse the criticality, future service trends, longevity, and susceptibility of your assets in critical work environments. Identify the patterns, risks, maintenance requirements and actions by tracing your asset data and integrating it into an intelligent hub.
Converting fragmented paper forms into centralised, automated workflows that enforce compliance and capture data in real time. Pre-configure templates based on the unique data-capture demands of your facilities, and secure all data entries (human and AI-driven) in a custom digital checksheet platform to avoid retrofitting data management efforts.
Cerexio SyncOne is an Industrial IoT (IIoT) platform that connects machines, sensors, edge gateways and enterprise systems to provide real-time industrial data, equipment monitoring, condition intelligence and predictive maintenance capabilities. It creates a connected data layer between operational technology (OT) and information technology (IT), bringing machine telemetry, process data, maintenance information and enterprise data into a unified industrial environment.
An Industrial IoT platform is software that connects industrial machines, sensors, equipment and systems so operational data can be collected, integrated, monitored and analysed. Unlike consumer IoT, Industrial IoT (IIoT) focuses on manufacturing and industrial environments where machine connectivity, real-time telemetry, equipment condition, process data, asset performance and operational reliability are critical. An IIoT platform can connect the shop floor with edge computing, cloud data streaming, ERP, LIMS, historians, maintenance systems and analytics applications.
SyncOne connects industrial machines and sensors through Industrial IoT connectivity, edge gateways and supported industrial communication protocols. Machine and sensor information can be collected as live tags and telemetry, transmitted through connected gateways and made available for monitoring, analytics and integration. This creates a data pathway from machines and sensors → edge connectivity → Industrial IoT → enterprise systems and analytics, helping organisations connect operational technology with their wider digital infrastructure.
The supplied SyncOne environment demonstrates support for Modbus RTU over RS485 and MQTT for industrial IoT connectivity. These protocols enable communication between industrial equipment, sensors, gateways and connected systems. Modbus RTU, RS485 and MQTT should therefore be used as primary protocol keywords on the page. Additional protocols should only be listed when confirmed for the specific SyncOne implementation.
Machine telemetry is the collection and transmission of machine operating data, measurements and parameters for remote monitoring and analysis. In an Industrial IoT environment, telemetry can include live tags, sensor readings, process values, equipment status and other machine data. SyncOne uses connected industrial data and live telemetry to provide greater visibility into equipment and processes and create a foundation for condition monitoring, analytics and predictive maintenance.
SyncOne provides real-time machine monitoring by connecting industrial equipment and sensors to collect live tags and machine telemetry through its Industrial IoT connectivity layer. Connected data can provide visibility into machine parameters, equipment status, data flows and edge gateway health. This helps production and maintenance teams monitor current equipment conditions rather than relying solely on manually collected or historical information.
SyncOne supports predictive maintenance by connecting machine telemetry and equipment condition data with maintenance intelligence and analytics. Continuous equipment information can be used to identify abnormal conditions, performance patterns and potential maintenance risks. SyncOne includes Predictive Maintenance Dashboard, Condition Monitoring and Preventive Maintenance capabilities, allowing teams to move towards more data-driven equipment maintenance and asset reliability strategies.
Preventive maintenance is performed according to predetermined schedules or usage intervals, while predictive maintenance uses equipment data and condition information to identify potential maintenance requirements before failure. Preventive maintenance asks "When is maintenance scheduled?", while predictive maintenance asks "What is the equipment condition telling us?" SyncOne connects machine telemetry, condition monitoring and maintenance information to support a more condition-aware approach to industrial maintenance.
Condition monitoring works by collecting and analysing equipment operating data to understand the current health and condition of industrial assets. Sensors and machine telemetry can provide information about equipment parameters and operating behaviour, which can then be monitored for changes, trends or abnormal patterns. SyncOne connects machine data, live tags, condition monitoring and maintenance intelligence to help teams identify equipment conditions that may require investigation or maintenance intervention.
Yes, SyncOne's Integration Hub is designed to connect Industrial IoT and operational data with supported ERP and enterprise systems. The supplied architecture identifies integrations with SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics 365 SCM, Infor CloudSuite Industrial and Odoo, among others. Integration can connect business information with industrial data, helping bridge ERP, OT, IT and shop-floor systems. Exact integration scope depends on the customer's systems, interfaces, data requirements and implementation architecture.
Yes, the supplied SyncOne architecture includes connectivity with LIMS and process historian environments. Supported examples include LabWare LIMS and AVEVA PI System. SyncOne can connect laboratory information, process values, historical telemetry, batch context and event information with the wider industrial data environment. This can help organisations bring LIMS data, historian data, machine telemetry and operational information into a more connected architecture.
Yes, SAP S/4HANA is identified as a supported enterprise integration within the supplied SyncOne Integration Hub architecture. The documented integration includes exchanges such as production orders and goods movements, allowing relevant ERP information to participate in the industrial data ecosystem. The exact data objects, interfaces and implementation approach depend on the customer's SAP S/4HANA configuration and integration requirements.
An industrial IoT edge gateway is a device or software layer that connects industrial machines and sensors to higher-level IoT, cloud and enterprise systems. It can receive machine data through industrial communication protocols, process or route information and transmit telemetry to connected platforms. In SyncOne, edge gateways form part of the connectivity architecture between industrial equipment, live tags, IoT data and cloud or enterprise systems.
SyncOne handles industrial data integration through its Integration Hub, IoT connectivity and defined data-exchange architecture. The supplied architecture includes connections across ERP, LIMS, historians, warehouse and maintenance systems, with controls for authentication, sequence and duplicate-message handling, checksums, error queues, retry mechanisms, reconciliation and timestamp synchronisation. This supports a more structured approach to OT/IT integration, industrial data exchange and data integrity.
SyncOne supports controlled industrial data exchange through authentication, message-integrity controls, error handling, reconciliation and timestamp synchronisation mechanisms identified in its supplied architecture. These include OAuth 2.0 client credentials or mTLS authentication, sequence controls, duplicate-message detection, SHA-256 checksums, persistent error queues, retry with exponential backoff, reconciliation reporting and NTP time synchronisation. These mechanisms help improve the reliability and traceability of data moving between connected industrial systems.
IoT generally refers to connected devices and sensors across consumer, commercial and general environments, while IIoT, or Industrial Internet of Things, focuses specifically on industrial equipment, machines, processes and operational systems. IIoT places greater emphasis on machine connectivity, industrial protocols, real-time telemetry, edge computing, equipment condition, process data, operational technology and industrial reliability. SyncOne is positioned specifically around Industrial IoT and connected manufacturing environments.
SyncOne supports Industry 4.0 by connecting industrial machines, sensors, edge gateways, enterprise systems and operational data into a connected digital environment. Its capabilities around Industrial IoT, real-time telemetry, machine connectivity, edge gateways, ERP and historian integration, condition monitoring, predictive maintenance, SPC and analytics provide building blocks for connected manufacturing. The progression is Connect → Collect → Integrate → Monitor → Analyse → Predict → Act, helping organisations develop a more data-driven Industry 4.0 operating model.
SyncOne is suited to manufacturing and industrial environments where machines, equipment, sensors and operational data are critical to production, maintenance and process performance. Potential environments include food and beverage manufacturing, pharmaceutical manufacturing, chemical manufacturing, process manufacturing, industrial manufacturing, machinery and equipment operations, mixing and agitation environments and other asset-intensive manufacturing operations. The platform is particularly relevant where organisations need to connect machine telemetry, Industrial IoT, equipment condition, maintenance systems, process data and enterprise applications.