In-situ monitoring provider Addiguru has established a series of partnerships with additive manufacturing OEMs, end users and research institutions.
With Renishaw and Apex Additive Technologies, Addiguru is working to combine its multi-sensor monitoring platform, integrating optical, near-infrared (NIR), and long-wave infrared (LWIR) sensing, with Apex’s process and applications expertise and Renishaw’s RenAM 500Q system.
The collaboration with these two companies will include API integration with Renishaw Central and DataHUB, with Addiguru keen to enable access to layer-by-layer photodiode intensity data, optical images, and machine control information with its LWIR thermal maps.
Ultimately, the aim is to get a deeper understanding of the additive manufacturing build process and allow for the early detection of process deviations, reducing the time it takes to establish stable and repeatable parameters.
Addiguru & AMS focus on large, multi-laser machines
A partnership with Additive Manufacturing Solutions is set to explore the next-generation of in-situ process monitoring for large-series, multi-laser additive manufacturing systems.
Bringing together Addiguru’s automated monitoring platform with AMS’ metal AM process development expertise, the partners hope to explore how a combination of optical, thermal, and machine control data can be analysed through automated and statistical methods to provide deeper visibility into the build process. They suspect it will offer a potential pathway to strengthen quality assurance without relying solely on costly and time-consuming CT inspection.
This facet of their collaboration forms part of a broader effort to improve repeatability and certification pathways in metal AM, particularly for critical application sectors where reliability and traceability are essential.
“Our focus has always been on helping manufacturers detect and prevent defects before they happen,” said Shuchi Khurana, CEO of Addiguru. “AMS are an ideal partner because they understand both the engineering and commercial realities of scaling metal AM. Their openness and technical insight are invaluable as we look to extend our technology to complex, multi-laser platforms.”
“Our work with Addiguru is an exciting next step,” added AMS CEO Rob Higham. “Together, we’re looking at how multi-sensor, in-situ monitoring can provide a real-time fingerprint of quality during the build reducing our dependency on post-build inspection and helping bring additive manufacturing closer to true production readiness.”
Collaborative research programs established with MTC & University of Bolton
Addiguru has also become a Tier 3 member of the Manufacturing Technology Centre’s (MTC) network.
As a Tier 3 member, Addiguru is set to engage with collaborative research programs and contribute its expertise in AI-driven in-situ monitoring solutions; supporting early defect detection, improved process control, and enhanced product quality.
Dr Ben Dutton, Technical Specialist at MTC, said: “Addiguru’s advanced in-situ monitoring and probabilistic approach to defect detection represent a significant step forward for additive manufacturing. We are excited to start exploring Addiguru’s capabilities at MTC and look forward to sharing this with existing members.”
The company has also partnered with the University of Bolton’s Centre for Advanced Manufacturing (CfAM) to support the adoption and understanding of in-situ monitoring within the UK and European metal additive manufacturing community.
As part of this collaboration, Addiguru’s AI-driven in-situ monitoring platform will be utilised on CfAM’s metal additive systems, providing insight into process behaviour, defect detection, and build consistency. CfAM will provide structured user feedback and assist Addiguru in demonstrating practical benefits of real-time process visibility for both research and industrial applications.
The collaboration also supports wider efforts to introduce Xact Metal users across the UK and EU to ‘accessible, machine-agnostic in-situ monitoring tools.’ This approach allows research groups, SMEs, and manufacturers to gain deeper process understanding without the need for expensive, bespoke equipment or closed-system integrations.
Dr. Joseph Horne, Business Development Lead/Researcher at CfAM, said: “We’re pleased to be collaborating with Addiguru. In-situ monitoring is an important step towards improving process control, repeatability, and ultimately confidence in metal AM production. Having a flexible platform that we can test and help shape aligns closely with our applied research goals.”
Alliance with LISI AEROSPACE extended
Finally, Addiguru has expanded its partnership with LISI AEROSPACE after a two-year evaluation programme.
Having extensively tested Addiguru’s in-situ monitoring capabilities on an EOS M290 system, the companies are now implementing AI-ML-driven optical analysis on a large series X LINE machine to demonstrate that ‘meaningful process insight can be achieved from a single optical setup.’
With regular feedback from LISI AEROSPACE, Addiguru has moved quickly to implement new features and user-driven improvements, such as refined defect classification, simplified calibration, and enhanced reporting, to make its platform ‘more intuitive and directly relevant to LISI’s production workflow.’
Now, engineers can view and interpret layer-by-layer process data more easily, benefitting from improved repeatability, shortened feedback loops, and reduced post-build inspection.
The next phase of their collaboration will introduce additional sensors to focus on thermal profiles and analysis to create a richer, multi-sensor understanding of process behaviour.
Sébastien Eyrignoux, Sales and R&D Manager at LISI AEROSPACE Additive Manufacturing, said: “The optical AI layer already provides meaningful visibility into our build process on the X LINE. Addiguru’s responsiveness and ability to tailor software features to our feedback have made it far more effective for our engineers. By adding thermal and melt-pool monitoring, we’ll gain deeper process understanding and strengthen our ability to support qualification across our additive fleet.”
