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.
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 vision-language-action model meets errors on the factory floor with the whole of engineering knowledge– coupled with perception precise enough to act on it. By Christos Margadji and Sebastian W. Pattinson.
Following his Young Engineer of the Year win, Doug spoke to the Royal Academy of Engineering's Ingenia magazine about life running Matta, his biggest wins of the past year, and his advice to engineers just starting out.
Thanks to AIRR, we've secured 20,000 GB200 GPU hours on Isambard-AI — the UK's most powerful supercomputer — to help us build a foundation model that deploys to new customers without retraining.
Inside our "Sentient Factories: AI and the Future of Manufacturing" event at the Royal Academy of Engineering.
Our Co-founder and Chief Scientist, Sebastian Pattinson, spoke at a SoTA x ARIA event on scaling trust infrastructure into the physical world, alongside ARIA's Programme Director Alex Obadia.
Our collaboration with Batch Works and Plus X has already spun off four new Innovate UK projects — and a blueprint for sustainable, autonomous manufacturing.
Matta has closed a $14M seed round led by Lakestar, with support from Giant Ventures, InMotion Ventures, and others, to accelerate our AI that helps factories see, understand, and improve themselves in real time.
Doug spoke to Imaging and Machine Vision Europe about how our AI model learns to spot defects down to the tiniest smudges from just minutes of footage, no manual labelling required.
Doug Brion has been recognised as one of the Royal Academy of Engineering's 2026 Young Engineers of the Year for his work giving factories the ability to sense defects, reason through root causes, and optimise production in real time.
We opened our doors for a press morning to show how our AI-driven inspection platform installs on production lines in hours and starts catching defects within days — no lengthy setup required.
We hosted "Sentient Factories: AI and the Future of Manufacturing" at the Royal Academy of Engineering, bringing together government ministers, CTOs, and founders to explore how AI on the factory floor moves from demo to reality.
Our Co-founder and CEO, Doug Brion, shares his view on why there's no single AI tool that will "solve" manufacturing — and what it actually takes to make AI work across design, engineering, and the shop floor.
The Engineer visited our London office to learn how we're helping factories see, understand, and improve themselves in real time. Read their deep dive into where we came from and where we're headed.
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.
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.
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.
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