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Creating meaningful technologies that make the world work

Prodrive Technologies creates mission-critical products, providing highly engineered solutions in various technical domains while serving a range of markets

Markets

With over 30 years of experience, we have been a research, development, and production partner for these industries. Combining cutting-edge technology and expertise, we create meaningful technologies that make the world work.

Manufacturing services

Prodrive Technologies specializes in end-to-end manufacturing solutions, from NPI to life cycle management. Our diverse in-house capabilities cover electronics, mechanics, magnetics, cable harnesses, and advanced system assembly. Trust us to efficiently and competitively craft high-quality components for your product, system, or machine, striving for excellence every step of the way.

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Careers

Make the World Work Together

Our Prodrivers are the driving force of our organisation. It is their dedication to push technical boundaries that move us forward in pursuing our mission. 

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Latest news

03-10-2024

The demand for more computing power is constantly increasing. As processors and computers become faster—critical for advancing artificial intelligence—integrated circuits (ICs) are being pushed to their limits. How does Prodrive Technologies’ revolutionary solution address these challenges while reducing power consumption and simplifying system complexity?

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16-09-2024

Prodrive Technologies is excited to announce the expansion of the Sonic TDI line scan camera with new models featuring advanced Deep Ultraviolet (DUV) sensitivity. The latest addition, the Sonic 9K608-DUV, is equipped with a cutting-edge back-side illuminated (BSI) sensor, offering exceptional quantum efficiency across a broad spectral range.

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24-05-2024

Artificial Intelligence (AI) is transforming the landscape of medical specialties, leading to improved patient care and treatment outcomes. However, despite its potential, widespread adoption faces challenges related to complex IT infrastructure and a lack of expertise in deploying AI effectively within medical environments.

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