3D printer printing metal. Laser sinteri
Object printed on metal 3d printer. A mo
Spaghetti detection
Nozzle Clog detection


Addiguru provides in-situ monitoring technology for the Additive Manufacturing (AM) processes. Independent of machine and materials, Addiguru's intelligent technology can be easily incorporated in existing and newly developed AM equipment.​

Part anomalies formed during the build process are difficult and costly for post build detection and repair. Our monitoring technology detects anomalies during the build process and provides notifications to the users within seconds of layer formation.​​

Addiguru is committed to fulfill the need for a robust real-time defect detection for the rapidly growing 3D Printing market. As such, Addiguru's open policy allows different machine manufacturers, sensor providers, and software companies to easily integrate our technology to provide even more value to the end user. 



With team's unique knowledge of materials science, computer vision, and artificial intelligence we have developed a novel technology to process multiple sensor data and provide in-situ quality monitoring results with high accuracy in the industry. ​


Addiguru has developed technology to analyze powderbed and after fusion pictures to detect defects in real time, all without any interaction or interference with the machine or process. For Fused Deposition Modeling (FDM), optical cameras continuously monitor the process for any anomalies.   ​


As soon as an anomaly has been detection, the user is notified of the anomaly via email, in-app and audio notifications.​​ User has the option to get notifications instantly or at set time intervals. 


  • Laser Powder Bed Fusion (LPBF) or Direct Metal Laser Sintering (DMLS) process

Addiguru’s in situ monitoring software for powder bed fusion currently detects issues such as powder bed anomalies, part elevation, recoater streaking and recoater hopping during the part building process. The layer-by-layer data is analyzed by artificial intelligence and outcomes are made available to users within a few seconds. Independent of feedstock material and machine interface, the software can notify users of any anomalies as it scans each layer.​​

  • Fused Deposition Modeling (FDM) or Fused Filament Fabrication (FFF) ​

For extrusion based process, Addiguru's real time monitoring can detect and notify users for defects such as spaghetti, delamination, nozzle clog, etc. ​Users are notified of any anomalies during the print process in real time so that your team can focus on work that's more important tasks than watching for a failed print.

Addiguru software is compatible with Windows as well as Raspberry Pi allowing easy and affordable installation for scalability in print farms and service bureaus.


Colin Kools

Addiguru’s software is extremely useful for monitoring my builds. It has made my work flow more efficient by giving me some peace of mind. I love that Addiguru is regularly adding more features based on the users' feedback.


Nathan Jantzen

Addiguru’s in situ monitoring software sends notifications of issues detected within seconds of layer completion. It allows us to catch issues earlier, thereby saving headaches and time.


Dean Jaric

Addiguru’s real-time monitoring software for FDM is easy to use. It has saved a significant amount of time and money for us.

What our customers say


Get in Touch

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.