Test Predictive Maintenance on your own data before committing to a full implementation
Predictive Maintenance helps you detect early signs of failure, improve overall equipment effectiveness (OEE), and achieve a faster return on investment.
Put the system to the test! Select 2–3 assets, upload your own data, and explore what Predictive Maintenance can do for your business.
Benefits of Predictive Maintenance with Try & Buy
Within 24 hours
Get access to your test environment.
Up to 3 months
Evaluate the solution in practice.
Test 2–3 critical assets
Assess Predictive Maintenance within the Try & Buy scope.
No integration or in-house infrastructure required
We provide the environment, system, models, and support.
They trusted us
Evaluate Predictive Maintenance before you implement it
Implementing Predictive Maintenance does not have to start with a major investment, an infrastructure project, or extensive integrations. Smart RDM Try & Buy lets you start with a limited scope and answer the most important questions before moving forward with implementation:
- Is my data of sufficient quality?
- Do the models work with data from my equipment?
- Do the system’s features meet my team’s needs?
- What do we need to prepare to scale Predictive Maintenance across the organization?
You can then use these findings to decide on your next steps.
What is included in Try & Buy?
A complete Smart RDM SaaS environment
Get access to a fully operational system in a SaaS environment, without having to build your own infrastructure.
Support in selecting assets and data
We help you identify the use cases best suited to evaluating the potential of Predictive Maintenance.
Data quality validation
We assess whether the scope and quality of your available data support reliable use of the models.
Predictive maintenance models
Test your data using Smart RDM models based on a Predictive Maintenance methodology developed by researchers and validated in practice by manufacturing companies.
Model calibration
Where calibration is needed, we adapt the baseline model to the characteristics of your equipment, process, and data.
Support and recommendations
The Smart RDM team supports you throughout the evaluation, from data preparation to interpreting the results. At the end, you receive a report assessing the outcomes and recommending the next steps for implementing Predictive Maintenance.
How does Try & Buy work?
1. Select your assets
Together, we identify 2–3 assets best suited to an initial Predictive Maintenance evaluation. Before you begin, you receive a recommended scope and defined project success criteria.
2. Prepare your data
You provide your data using predefined CSV templates. Try & Buy does not require integration with your production environment.
3. Get access to Smart RDM within 24 hours
The Smart RDM team prepares a dedicated SaaS environment and gives your team access. Your environment can be available in as little as 24 hours.
4. We validate your data and run the models
Smart RDM validates your data and then applies Predictive Maintenance models to analyze the selected assets.
5. We calibrate the model
Based on the initial analysis, Smart RDM experts adjust the model parameters where needed, taking into account the equipment’s characteristics, the available data, and operating conditions.
6. Review the results and next steps
You receive a report covering data quality, evaluation results, and recommendations for implementing Predictive Maintenance.
How does SaaS make it easier to get started with Predictive Maintenance?
Try & Buy runs in a secure, preconfigured SaaS environment provided by the Smart RDM team. This means that, at the start of the project, you can:
- Get started without setting up your own IT infrastructure.
- Avoid purchasing or configuring additional hardware.
- Evaluate the solution without integrating it with your production environment.
- Reduce the time required from your employees.
- Focus on your data, the model, and the solution’s business value.
After Try & Buy, you can use Smart RDM’s ready-made connectors to integrate the solution with your target data sources and production environment.
A methodology grounded in research and proven in practice
Predictive Maintenance in Smart RDM uses our approach, combining maintenance expertise, process data, AI, and analytical models with experience from real industrial applications.
Our Smart Hybrid Maintenance System methodology, which underpins the entire system configuration, is described in a scientific paper written by our experts and published in the journal Energies. The paper has been cited in industry publications and scientific articles by authors from research institutions around the world.
What will you evaluate during Predictive Maintenance Try & Buy?
The project answers two key business questions.
Is your data ready for Predictive Maintenance?
Assess whether the scope and quality of data from your selected assets are sufficient to detect anomalies and early signs of potential failures.
Does Smart RDM meet your organization’s needs?
Your team can evaluate the system’s functionality and ease of use through hands-on experience.
What will you receive at the end?
- A summary of the results for the assets evaluated.
- An assessment of the quality of your available data.
- A recommended scope for the next stage.
- Identification of potential gaps in your data or digital capabilities.
- Recommendations for integration and scaling.
What happens after Try & Buy?
After Try & Buy, you can move smoothly into implementing Predictive Maintenance at your company. The Smart RDM platform can be connected to your target data sources and gradually extended to additional assets, production lines, and plants.
The platform supports data integration through OPC UA and CSV, among other methods. Its ongoing development aims to give your administrators and users greater autonomy.
The time you invest in Try & Buy helps your team learn the system and carry the value created during the evaluation into the full implementation. You can build on the work already completed as you move forward. Try & Buy is the first stage of your long-term use of Smart RDM.
The price includes
- Access to the SaaS environment.
- Access to the Smart RDM system.
- Use of Predictive Maintenance models.
- Support with data preparation and import.
- Training.
- Support throughout the evaluation.
- Model calibration.
- A review meeting.
- A report and recommendations.
Scope
A full system evaluation using 2–3 selected assets.
Duration
Up to 3 months.
Price
EUR 10,000, excluding VAT, for the entire Try & Buy period.
Download
Test Predictive Maintenance with your own data
Try Predictive Maintenance through our Try & Buy program and discover what you can achieve by analyzing data from your equipment. Over three months, you’ll test predictive models in practice with support from our experts. Fill out the form to learn more about the Try & Buy program and discuss how to get started at your company.
Gabriela Gic-Grusza
Unit & Product Manager Smart RDM