A premium consumer electronics manufacturer replaced manual calipers with Matta Gauge. One pilot station became the inspection standard across all production lines — with no MES, SCADA, or PLC integration required.
Matta partnered with Caracol AM to embed AI error detection and real-time process control into their large-format robotic 3D printing systems. Every part produced now carries a complete visual quality record. Every print self-corrects in real time.
Respirex International deployed Matta as the final quality gate on their Workmaster industrial safety boot line. Four cameras, one inspection station, every boot checked. Defects, mismatches, and missing components are caught before despatch — not by the customer.
A vision-based control system is reported, coupling active learning and uncertainty awareness with a foundation model to continually learn from errors during repeated builds of the same part.
In this work, we harness commonly available manufacturing process metadata alongside video to train deep learning regression models. These models we then apply to closed-loop control and few-shot error detection in extrusion 3D printing.
We harnessed commonly available manufacturing process metadata alongside video to train deep learning regression models for closed-loop control and few-shot error detection in extrusion 3D printing.
Warp deformation is a commonly encountered error in additive manufacturing. We combined deep learning and expert heuristics to autonomously recognise and correct warp both in situ and for future prints.
We developed a generalisable deep learning model that can detect and correct a wide variety of 3D printing errors in real time and learn how to make parts from unseen materials.
Our Co-founder and CEO recently attended the inaugural Engineering and Technology Business Leaders’ Forum at the Royal Academy of Engineering. This exclusive event brought together top industry leaders to discuss innovation, investment, and the future of the UK’s Industrial Strategy.
Matta will be exhibiting our latest innovations on February 4th-6th at Southern Manufacturing & Electronics 2025 at the Farnborough International Conference Centre. Come say hello!
We’re thrilled to sponsor a fully-funded PhD at the University of Cambridge, who will be tackling SOTA AI applications that will shape the future of manufacturing.
Check out this insightful article by our co-founder, Sebastian Pattinson, on the future of manufacturing. In it, Sebastian dives into how AI can improve processes and shares valuable tips for using AI-controlled systems effectively.
Members of the Matta team will be visiting Formnext 2024 in Frankfurt to meet with existing customers and future partners. Come grab a coffee with us and let's talk AI for manufacturing.
Made Smarter Innovation published a case study detailing our innovative Smart Sustainable Factories Project, undertaking in collaboration with Batch.Works and Plus X Innovation.
We presented at the Institute for Manufacturing's annual Open Innovation Forum event in Dublin, picking up the prize for highly innovative pitch in the process.
Matthew Judge and Ollie Rosen join the Matta team in London. Matt will oversee software development while Ollie will lead the charge on AI R&D.
We have just started an Innovate UK Smart Grant project with KCL to work on self-learning AI copilots to enable personalised medicine manufacturing. We will be working with researchers and a children's hospital to provide quality control for personalised medicine.
77 East Road, London, N1 6AH, UK
