Signals without context
Measurements become harder to trust when they are disconnected from the asset model, location, and sensor metadata.
Predictive asset intelligence
SentinelEye
SentinelEye helps maintenance and operations teams build a digital twin view of monitored assets by connecting equipment structure, sensor mappings, live readings, alerts, and predictive reports.
Digital twin asset view
Predictive alerts and reports
Operational dashboard workflows
Digital twin asset view
Structure, sensors, signals
Monitor
Track equipment, sensor types, instances, and incoming measurements through a connected asset model.
Detect
Surface anomalies, warning conditions, and signals that need engineering attention.
Report
Convert asset context and predictive findings into usable reports for decision makers.
Asset monitoring usually breaks between data and action
Sensor readings are collected, but maintenance teams often lack a shared digital twin that shows asset structure, sensor position, alert history, and operational context together.
Late warning signs
Potential failures can stay hidden until trends, alerts, and operating history are reviewed together.
Manual reporting load
Teams spend too much time assembling evidence instead of inspecting the digital twin and acting on asset condition.
How SentinelEye works
From asset digital twin to maintenance-ready action
SentinelEye connects asset structure, sensor readings, alerts, and reports so teams can move from observation to response.
01
Build the asset digital twin
Map equipment, components, sensors, and expected signal ranges into a digital representation of the monitored asset.
02
Ingest readings
Bring operating data into a structured workspace where signals are attached to the right point in the digital twin.
03
Evaluate risk
Review abnormal readings, trends, and alerts before they turn into unexpected downtime.
04
Create reports
Summarize asset state, findings, and next actions in a format teams can review and share.
Platform views
The product experience centers on the asset digital twin
SentinelEye is designed around repeated inspection of asset structure, sensor state, alerts, and reports rather than a generic analytics page.
Digital twin workspace
Asset structure, sensors, alerts
Operational review
Signals, reports, next action
Platform features
Designed for asset teams that need clarity before failure
Asset digital twin
Connect the physical asset, sensor locations, readings, and maintenance context into one inspectable operating model.
Alert review
Track abnormal signals and warning conditions in a workflow built for maintenance response.
Predictive reports
Create structured summaries that explain asset condition, observations, and recommended follow-up.
Sensor mapping
Attach sensors to the right asset, component, and location so every reading has a clear operational owner.
Trend review
Compare readings and changes over time to understand whether asset behavior is stable or drifting.
Contextual chat
Use the workspace context to ask operational questions and move faster through asset review.
For operations teams
A digital twin intelligence layer, not just a sensor dashboard
SentinelEye gives engineering, maintenance, and operations teams a digital twin view of monitored assets, helping them understand not just what changed, but where it changed and why it matters.
- Track equipment health through a connected asset model and sensor data.
- Review alerts and readings with operational context attached.
- Generate reports that help teams decide what to inspect next.
At a Glance
Reduce missed warning signs by connecting the digital twin, sensor readings, alerts, and maintenance reports.
Digital twin snapshot
Asset state, signal context, operational review
Team experience
Reviewing the asset twin should be direct and repeatable
Open the workspace
The team enters the protected SentinelEye app and starts from the digital twin, asset, or sensor area they need to inspect.
Check mapped signals and alerts
Readings, ranges, and warning states are reviewed against the asset model instead of across disconnected screens.
Document the next action
Findings can be translated into reports and follow-up decisions for maintenance planning.
FAQ
Common questions
SentinelEye is structured around configurable asset types, instances, and sensor mappings, so it can support multiple monitored equipment classes.
It means a connected operating model of the asset: equipment structure, sensor locations, live readings, alerts, and reports are brought together so teams can inspect asset condition in context.
No. It helps teams see signals, alerts, and summaries more clearly. Final inspection and maintenance decisions remain with the responsible team.
A protected SentinelEye workspace where users can access asset monitoring, alert review, and reporting workflows after IAM authentication.
Yes. Subscribe opens the RoboWorks IAM pricing flow for SentinelEye. After payment, IAM confirms access and launches the protected application.