jora.twin / Product
From process monitoring to predictive optimization
in real time
Our platform learns the dynamic behavior of your entire line, predicts what will happen next and helps your team take the right action in real-time before quality, efficiency or uptime are affected.
Beyond monitoring
Dashboards show what happened. jora.twin shows what to do next - during production.
Conventional dashboards help teams inspect trends and alarms. jora.twin adds a predictive layer: it learns how signals influence each other over time, forecasts the effect on product quality and calculates a response before the deviation reaches the end of the line.
Conventional monitoring | jora.twin |
|---|---|
Shows current and historical values | Forecasts future process states and quality |
Raises threshold-based alarms | Detects unfamiliar multivariable behavior |
Leaves diagnosis to the operator | Identifies likely causes and relevant signals |
Supports manual trial and error | Recommends or executes constrained set-point changes |
How it works
From plant signals to optimized set points.
Connect
Bring together historical and live data from sensors, actuators, environmental conditions and quality systems.
Learn
Create a dynamic line-specific model that captures delays, dependencies and process behavior.
Predict
Forecast relevant process states and product properties over the horizon that matters for the line.
Optimize
Calculate the response that best balances target quality, throughput, material use as well as operating limits and apply it to the line.
Improve
Monitor model performance, incorporate new operating data and expand to further products, lines or decisions.
Application modules
jora.twin application modules.
Data Explorer
Explore historical process data and label relevant events and operating conditions. Review how your line behaved over time, mark meaningful periods and add your team’s process knowledge as context for model training.
Historical process signals with start-up and stable-operation intervals labelled for model training
Explore history. Label context.
What-If Analysis
Explore the process without risking production. Adjust proposed set points and immediately see the predicted effect on process behavior and product properties. Or start with a desired product target and let jora.twin identify the input changes most likely to achieve it.
Explore proposed set points
Anomaly Detection
Continuously monitor multivariable process behavior and recognize patterns that do not match previously observed operation. Instead of adding another generic alarm, jora.twin highlights the signals and subsystem most likely to explain the abnormality so teams can investigate faster.
Recognize unfamiliar behavior
Predictive Process Control
Define product targets, constraints and operating limits. jora.twin then continuously calculates the set points most likely to keep the process within specification. Recommendations can remain advisory, require operator confirmation or be executed automatically inside a validated control envelope.
Stay within validated boundaries
Built for your team
One platform, different users.
Operators
See what is likely to happen, why it matters and which action is recommended - without searching across disconnected trends.
Process engineers
Test hypotheses, understand line dynamics and compare response strategies using a line-specific predictive model.
Quality and operations
Track whether critical product properties remain on target and reduce the operational causes of variance and scrap.
Digitalization and IT
Deploy one vendor-neutral intelligence layer across mixed equipment while keeping interfaces, hosting and governance aligned with plant standards.
Management
Connect technical performance to material use, throughput, quality costs and scalable operating practices.
Operators
See what is likely to happen, why it matters and which action is recommended - without searching across disconnected trends.
Process engineers
Test hypotheses, understand line dynamics and compare response strategies using a line-specific predictive model.
Quality and operations
Track whether critical product properties remain on target and reduce the operational causes of variance and scrap.
Digitalization and IT
Deploy one vendor-neutral intelligence layer across mixed equipment while keeping interfaces, hosting and governance aligned with plant standards.
Management
Connect technical performance to material use, throughput, quality costs and scalable operating practices.
Your level of autonomy
You remain in control at every stage.
Observe
Use forecasts, what-if analysis and anomaly insights to understand the process before any action is recommended.
Advise
Receive ranked set-point recommendations and let the operator decide whether and when to apply them.
Confirm
Send approved recommendations to the control layer only after an operator has confirmed the action.
Automate
Execute changes automatically within validated targets, constraints and operating boundaries.
Integration
One intelligence layer for mixed production environments.
jora.twin is designed to work above heterogeneous machines, control systems and data sources. The deployment can reuse existing infrastructure and interfaces rather than requiring a single machine vendor or a full controls replacement.
Connect
Connect historical and live process, machine, environment and quality data.
Deploy
Deploy components in the environment that fits plant requirements.
Integrate
Integrate outputs with dashboards, operator workflows or control systems.
Expand
Start with one application module and expand without rebuilding the entire foundation.
jora.twin connects existing data sources with operator workflows and existing control systems
Line-specific intelligence layer
Good to know
FAQs
How much does jora.twin cost?
We offer jora.twin as a recurring software license per production line. This license includes all available application modules, unlimited users and software updates as well as support. The concrete license cost is based on the complexity of the line and calculated after the free data pre-check.
Do we need perfect data before we start?
No. The free data pre-check is designed to identify what is usable, what is missing and whether the strongest use case can be validated with the available history.
Does jora.twin replace our PLC or control system?
No. It acts as an intelligence layer that can provide forecasts and recommendations or connect to the existing control layer within an agreed scope.
Can operators stay in the loop?
Yes. Recommendations can remain advisory, require confirmation or be automated only after operating boundaries have been validated.
Can jora.twin run autonomously, without operator interaction?
Yes. jora.twin can automatically adjust process settings without continuous operator input. Predefined operating limits constrain these adjustments to an agreed operating envelope. The operator takes on a supervisory role, overseeing performance and intervening when needed. Their expertise remains essential – for example, when a hardware fault requires physical inspection or repair that software alone cannot provide.
Is the model specific to our line?
Yes. The model is trained and configured around the data, process relationships, targets and constraints of the selected line and use case. This is done through a guided training wizard, which is designed to be fast and user-friendly.
Start with your line
Which module creates the strongest leverage on your line?
A brief data pre-check can identify where predictive optimization is technically feasible and economically relevant.
Book a free data pre-check