Cadmatic AI: Making industrial digital twins smarter and easier to use
An engineer needs to know everything about a single asset, whether it’s a valve in a process plant or a pipe spool in a ship block. Its tag appears on a drawing. The datasheet lives in a document management system. The latest status update sits in another system, while the asset itself is just one among thousands in the plant or vessel.
Piecing everything together means opening different applications, searching multiple sources and trying to connect the dots manually. It takes time, and important information can easily go unnoticed.
With Cadmatic eShare, you can bring this information together in an industrial digital twin. It connects 3D models and point clouds with information from existing systems, such as document management systems, CMMS, PLCs and design applications.
The result is a connected view of your assets, where engineering and operational information is accessible in its proper context. And with AI, both building and using this digital twin becomes easier.
Ask your model a question and go straight to the answer
Imagine simply asking your plant model where an object is, what documents are linked to it or what information is available about it.
The AI assistant in eShare makes this possible through a conversational chat. Instead of navigating through different views and searching individual systems, you can ask questions or give instructions in your own words. The assistant searches the available information and takes you directly to the relevant results.
It can find objects, document text, Smart Points and Markups. It also retrieves specific object data from connected data sources and identifies links between objects, documents and other information sources.
The AI assistant also works directly in the 3D view. You can ask it to:
- Show or hide objects
- Create temporary visual styles and hierarchies
- Set a clip box around selected objects
- Generate search reports for specific objects
This brings information retrieval and 3D interaction into the same conversation. You can explore complex asset relationships, visualize relevant information and move from a question to an action without manually navigating between different tools.
The AI assistant is available to all users with a Cadmatic One License (COL).
Let AI recognize tags in your point clouds
For brownfield sites, building a digital twin often starts with laser scanning. Point clouds capture the physical environment in detail, but turning that data into useful, connected information can involve a lot of manual work.
Consider asset tags and labels captured in a laser scan. Someone needs to identify them and enter the corresponding information as reference points, one by one. When working with large point cloud datasets, this can become a time-consuming task.
AI-powered tag recognition in eShare helps automate this process.
Simply select the point clouds in your project, and AI processes them to identify and list the tags it finds. These tags can then be used to generate Smart Points.
Smart Points matter because they connect the physical environment captured in a point cloud with asset intelligence and information from other connected sources. You can bring information about real-world assets into the digital twin without spending time modeling them in CAD. The point cloud shows the site, and Smart Points link each asset to its data.
You remain in control of what gets added to your model:
- Review the tags identified by AI in the analysis view and define the IDs or tags for the new Smart Points.
- Configure the rules for generating Smart Points.
- Preview the results, test transformations and identify potential duplicates before creating anything.
- Select the tags you want to accept and generate Smart Points from them.
Instead of entering every reference point manually, your team can focus on reviewing and validating the results. The outcome is a more efficient way to connect as-built information with your project data.
Partnerships take AI even further
Finding information and connecting it to the right asset is one part of the picture. AI can also help you understand what that information tells you about your equipment.
Our collaboration with Acuvate takes AI beyond information retrieval and into operational insights.
Acuvate’s AcuPrism platform brings together data from sensors, maintenance systems and other operational sources, cleans it and connects it to the relevant assets. AI can then help identify anomalies, assess equipment condition and highlight where attention may be needed.
Predictive maintenance is one example. By analyzing sensor readings alongside maintenance history, AI can assess equipment health, express it as a health score and flag early signs of potential failure.
Together, we bring these insights into the eShare 3D model, linking operational analysis to the physical asset. Teams can see which equipment may need attention, understand the surrounding context and make more informed maintenance decisions before a potential issue becomes a breakdown.
Put AI to work in your digital twin
AI can make it easier to find information, connect data and understand what’s happening across your industrial assets. The real value comes when these capabilities are available in the context where people actually need them.
With AI built in, your digital twin becomes a practical way to access information, explore asset relationships and support everyday decisions.
Want to see what AI can do with your plant or project data? Get in touch with our team, and we’ll show you how it works in eShare .
