AMiRIS In-situ Quality Assurance for Metal 3D Printing

Additive Assurance is a venture-backed company formally incorporated in 2019 after an academic research programme on melt pool physics and in-situ monitoring for laser powder bed fusion (L-PBF) that ran from 2016. It tackles a major cost in metal additive manufacturing: conventional non-destructive testing and validation can consume 25 to 50% of part cost, and defects are often found only after a build is complete.

AMiRIS captures deviations layer by layer during the build using a high-resolution near-infrared system and software that analyses layer-wise data, sending instant defect alerts so operators can act while parts are still being printed. It comes in three forms: AMiRIS for standard 200 to 300 mm class L-PBF machines, AMiRIS-LF for large-format platforms of 400 mm and above, and AMiRIS Inside for embedded integration by machine makers. The system works with more than 8 L-PBF machine brands and serves aerospace and defence, medical device, energy and R&D users.

• Layer-by-layer monitoring: deviations are captured on every layer during the L-PBF build.
• Instant defect alerts: operators are notified while parts are still printing.
• AMiRIS for standard machines: fits 200 to 300 mm class L-PBF platforms.
• AMiRIS-LF: covers large-format machines of 400 mm and above.
• AMiRIS Inside: embedded integration for machine makers such as Additive Industries.
• Machine-agnostic data: one platform works across 8+ L-PBF brands with web-based user login.

Vietnamese metal 3D printing service bureaus can document build quality for aerospace and medical customers without costly CT scanning of every part. Research institutes and universities can use layer-wise data to speed up alloy and process parameter development. Machine distributors in Southeast Asia can bundle AMiRIS with L-PBF systems for production clients.

AMiRIS targets the 25 to 50% of part cost that conventional NDT and validation can consume, by catching defects layer by layer instead of after the build. Instant alerts let operators stop or adjust failing builds early, saving machine time and powder. Because it is machine-agnostic across 8+ L-PBF brands, one quality workflow can cover a mixed fleet, and R&D teams report shortening process iteration cycles from weeks to hours.

As metal additive manufacturing moves into serial production for aerospace, defence, medical and energy, certification increasingly depends on in-process evidence rather than costly post-build inspection. Multi-laser and large-format machines raise the volume of data to analyse, favouring automated, machine-agnostic monitoring. Asian markets are adopting such tools, as shown by the 2026 distribution launch in Japan.

Formally incorporated in 2019 after academic programmes from 2016; venture-backed; first commercial release of AMiRIS to a series production client in 2021. Partnered with Additive Industries in 2024 to offer monitoring on MetalFab machines. Named top performer in the 2025 Actionable In-Situ Awareness Challenge run by ASTRO America and ASTM International. Appointed NTT DATA XAM Technologies as distributor in Japan in June 2026.