Device connectivity and data integration
Connect devices and field protocols, process data at the edge, and integrate with business systems or cloud services according to project needs.
Introducing Jelina
Jelina connects devices, data, business applications, and AI models through software infrastructure that coordinates the cloud, edge, and device layers. It helps teams deliver capabilities from development environments to real sites, then manage, update, and evolve them continuously.
Jelina is the name of a product family. JelinaCloud, JelinaOS, CommBridge, and Edge-EMS Builder each have distinct responsibilities. Projects can use them independently or combine them as needed; developing with and using these products does not require installing a single software package called “Jelina” first.
Our vision
Section titled “Our vision”Bringing Intelligence to Industrial Operations
We want intelligence to run at every industrial site, extending beyond the cloud.
Industrial applications deliver their value under real device, network, and operating conditions. From healthcare and rail transit to renewable energy and robotics, different environments all need a reliable runtime, usable data, continuous application delivery, and long-term operations and maintenance.
We aim to turn these recurring engineering tasks into reusable software infrastructure:
- Keep applications running reliably in the field: Provide the foundation for continuous operation of business applications and AI inference through hardware adaptation, system operation, data isolation, and fault recovery.
- Connect devices and data: Connect different devices and protocols so that business systems, analytics programs, and models can use field data.
- Scale delivery and operations: Continuously manage deployment and updates of containerized and native applications, together with monitoring, control, and remote maintenance of devices and applications.
- Reuse project experience: Bring proven applications, configurations, and engineering workflows to more sites so teams can focus on industry requirements and business innovation.
We believe industrial intelligence should serve real business needs over the long term. Every application and model iteration should be deliverable to the field, its operating results observable, and further improvements possible.
Typical collaboration scenarios
Section titled “Typical collaboration scenarios”Deploying business applications and AI
Deliver containerized or native business applications and AI inference services to compatible edge devices, and validate their operation using field data.
Managing devices and applications at scale
Organize distributed devices by project, centrally deliver applications and configurations, and continuously track device status, application versions, and runtime logs.
Continuous field operation and maintenance
Use system recovery, remote diagnostics, and application updates to plan engineering workflows for long-term device operation, incident response, and ongoing maintenance.
Product documentation
Section titled “Product documentation”Jelina is the name of the product family. See the relevant product documentation for installation and configuration.
JelinaCloud
Manage distributed devices, deploy and update containerized and native applications in batches, and monitor, control and maintain devices and apps remotely throughout their lifecycle.
JelinaOS
Run existing applications on industrial Linux, manage the system and data separately, and maintain clear paths for updates and failure recovery.
CommBridge
Connect heterogeneous equipment to local processing and business systems, and synchronize cached data when connectivity returns.
EMS Builder
Turn validated data and control logic into configurable strategies, so device mappings, site parameters, and project experience can be reused.
Start with your project goals
Section titled “Start with your project goals”Start with a practical task; the guides link together steps that involve multiple products.