Search Results for "digital manufacturing"

Made Smarter Technology Accelerator – Innovator briefing
Event
The Made Smarter Technology Accelerator is a one of a kind programme designed to drive innovation, improve productivity and aid…
12 January 2021 13:30 - 15:00
DETC Pit Stop: Increasing efficiency in automotive product development
Event
With new models released and customer expectations rising, managing complexities in the automotive manufacturing process is becoming of critical importance.
26 March 2018 17:30 - 27 March 2018 17:30

Exploring key insights from MWC Barcelona 2024
Event
Digital Catapult is delighted to be partnering with WiTT to bring you a content-rich discussion of some of the key trends…
18 March 2024 18:00 - 20:45
Made Smarter Technology Accelerator: Applying innovative technology solutions to industrial challenges
Opportunity
Made Smarter Technology Accelerator is a unique opportunity for startups to join the largest manufacturing focused UK acceleration programme. A…
Open date: 5 Jan 2021 Close date: 21 Feb 2021

Introducing our new SONIC Labs Strategic Advisory Board and Industry Groups
Blog
Find out more about the SONIC Labs Advisory Board and Industry Groups from Paul Ceely, Director of Technology Strategy at…
Published 13 Oct 2022

Unlocking The Potential Of Quantum Sensing For Transport
Event
Join Digital Catapult for an exploration into the rapidly advancing field of quantum sensing and its applications across the transport…
21 January 2025 09:30 - 13:45
Smart Anything Everywhere: FED4SAE IoT European Showcase
Event
Join Digital Catapult on Tuesday 11 February as we bring together pioneering European internet of things (IoT) startups from the…
11 February 2020 09:00 - 16:00

Fine Energy
Case study
...that have grown and developed through Digital Catapult’s programmes and innovation activities. Digital Catapult really pushed things along, encouraged us…

Predicting late packages and gaining insights using quantum machine learning with Seer
Case study
Learn how Seer used quantum machine learning to predict late packages and gain insights.