University of Cambridge
Hosted by Oxford, Cambridge, Imperial and UCL (Samsung, Honda, Telefonica and BP)

Samsung CVC Innovation Showcase

This event is hosted by Samsung Ventures Europe and will focus on new opportunities in deep tech and AI.

The Samsung CVC Innovation Showcase, taking place in London on 8th October, aims to foster deep strategic collaborations between emergent startups from the innovation hubs of Cambridge, Oxford, and London with major industry players including Samsung, Honda, Telefonica and BP.

Meet our portfolio companies showcasing their innovations at the Samsung CVC Innovation Showcase:

Companies presenting

Accelerated Materials Deep Tech

Accelerated Materials

Accelerated Materials revolutionises nanomaterial discovery and manufacturing using advanced microreactors, machine learning, and automation to create sustainable, next-generation products.

Point of Contact: Christine Martin Academic founders: Nicholas Jose, Alexei Lapkin

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DeepForm Sustainability

DeepForm

DeepForm Limited offer novel press tool designs for automotive and other high volume customers, suited to a wide range of steel and aluminium panels.

Point of Contact: Chris Gibbs Academic founders: Christopher Cleaver, Julian Allwood, Adam Nagy-Sochacki

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Reclinker Sustainability

Reclinker

Reclinker (previously Cambridge Electric Cement) has developed a low-carbon, recycled cement using electric arc furnaces. This innovative process reduces emissions by co-recycling steel and cement, offering a sustainable alternative to traditional cement production.

Point of Contact: Chris Gibbs Academic founders: Julian Allwood, Bill Yost, Poppy Brewer

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Signaloid Deep Tech

Signaloid

Signaloid provides a computing platform to quantify, transmit, and track data uncertainty dynamically and throughout computations in unmodified computing workloads.

Point of Contact: Christine Martin Academic founder: Phillip Stanley-Marbell

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Sqwish Deep Tech

Sqwish

Sqwish is a smart performance platform for AI that boosts quality, speed, cost-efficiency and reliability across any model or app. Its real-time optimisation layer improves accuracy, cuts costs and accelerates response times.

Point of Contact: Christine Martin Academic founders: Federica Freddi, Ushnish Sengupta

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This page showcases a curated selection of technologies, from carbon capture to wearables, with TRL 3–5. We are actively seeking industry partners to help build the bridges between pioneering research and real-world impact.

Pre-spin out technologies

New catalysts for H2 production based on HfO2 nanosheets

Charged materials for carbon dioxide capture

Metal recovery from spent batteries

High performing resistive switching technology

Electronic nose

A deep learning-enabled wearable throat interface

H2Upgrade

Oblique plane single molecule localisation microscopy for deep tissue imaging

Pyramid sensors for 3D force detection

Early-stage cases

High-capacity lithium-ion batteries

New material for memristors/neuromorphic computing

Novel catalyst materials for the oxygen revolution reaction

A room temperature quantum sensor

Beyond silicon: 2D materials for next generation electronics

AI-model that enables the creation of hyper-realistic indoor digital twins