3D printer printing metal. Laser sinteri
Object printed on metal 3d printer. A mo


Addiguru provides real time monitoring technology for the additive manufacturing (3D-Printing) processes. Part defects formed during the build process can be difficult or costly to detect and repair after a part is already finished. Our monitoring technology detects anomalies during the build process and provides notifications to the users.


Addiguru's monitoring technology is independent of the brand of additive manufacturing machines. Our software can be easily incorporated with existing and newly developed metal additive manufacturing equipment.


Addiguru is committed to fulfilling the needs of the 3D-Printing industry for a robust defect determining product. 


Addiguru's software is designed to provide insight to Additive Manufacturing processes regardless of the brand of the machine and the cameras used. The goal is to provide highest value to a user who is producing parts. Addiguru is open to collaborations with different machine manufacturers, sensor providers and integration with other softwares in this space.



At Addiguru we are building products based on machine learning and artificial intelligence technology. With our team's unique knowledge of materials science, computer vision and artificial intelligence we are creating robust and exciting products for advanced manufacturing technologies. We are developing a novel technology to process multiple sensor data and provide in-situ quality monitoring results with high accuracy.


Addiguru has developed a technique to take powderbed and after fusion pictures without interacting with the machine. The camera is placed on top of the machine looking into the powderbed and it is connected to the computer. Addiguru's software automatically detects the pictures to capture and then sends those captured pictures to the artificial intelligence (AI) analytic.


Anomalies are detected using advanced computer vision and AI algorithms developed and trained by Addiguru. The intelligence and accuracy is very high. Addiguru will soon add different classes of anomalies to the detection model in the next 3 months.


As soon as an anomaly has been determined the user is notified of the anomaly via email and other methods.


Get in Touch

In order to empower our users to do better, Addiguru is continually building upon its technology, so stay in touch to learn about upgrades and other changes. For a free demo, contact us today.