Forward Deployed Engineer, Matta

Sales, Solutions & Integration

Salary not provided
Junior and Mid level
London

3+ days a week in office (Old Street, London)

Matta

AI copilots for advanced manufacturing

Posted today

Matta

AI copilots for advanced manufacturing

1-20 employees

B2BArtificial IntelligenceManufacturingDeep TechMachine Learning

Posted today

Salary not provided
Junior and Mid level
London

3+ days a week in office (Old Street, London)

1-20 employees

B2BArtificial IntelligenceManufacturingDeep TechMachine Learning

Company mission

We're replacing the entire design-engineer-build workflow with AI to cut waste and boost efficiency. Join us to build and deploy cutting-edge AI solutions in manufacturing.

Company mission

We're replacing the entire design-engineer-build workflow with AI to cut waste and boost efficiency. Join us to build and deploy cutting-edge AI solutions in manufacturing.

Our take

In the landscape of modern manufacturing, traditional methods struggle to keep pace with the demands of advanced manufacturing, leading to inefficiencies, errors, and resource wastage.

Matta emerges with an innovative approach, which leverages years of groundbreaking research in AI control of manufacturing processes. By creating AI copilots specifically tailored for various manufacturing domains, Matta allows operators to excel at what they do best while automating repetitive, error-prone tasks. Through machine learning models trained on the expertise of seasoned operators, Matta's copilots identify and rectify errors in real-time, optimising production runs and mitigating resource wastage.

Partnering with leading academic institutions, Matta is positioned to unveil even more sophisticated AI tools that push the boundaries of what's possible in manufacturing.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Leadership

Douglas Brion

(Co-Founder & CEO)

Award winning engineer from the University of Cambridge, and Enterprise Fellow of the Royal Academy of Engineering. Owns (and plays!) over 25 musical instruments.

Associate Professor in engineering at the University of Cambridge, developing self-learning manufacturing systems. Previously, worked at Google X and MIT. Huge fan of Star Trek: Deep Space Nine.