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School of Electronic Engineering and Computer Science

Spin out Portfolio

Researchers in the School of Electronic Engineering and Computer Science have developed a number of sustainable spinout companies with support from Queen Mary Innovation Ltd (QMI). 

The EECS portfolio currently makes up over half of Queen Mary's spinout portfolio with a combined value of over £50 million.  

20 spin-out companies

founded/co-founded by EECS researchers since 2005

Over £50Mcombined value

of the EECS spin out portfolio

13new spin-out companies

over the past 7 years

Expand the sections below to find out more about some of our spin out companies.

Bela

Business ActivityBela Logo

Augmented Instruments Ltd is the maker of Bela, an open-source embedded hardware platform for ultra-low-latency audio and sensor processing. Bela supports a thriving community of makers, musicians, engineers and researchers creating digital musical instruments and interactive audio systems. The company also delivers technical consultancy projects in the audio industry. 

Founding Academic

Andrew McPherson, Reader in Digital Media, School of Electronic Engineering & Computer Science

Website

Chatterbox Labs

Chatterbox logo

Business Activity

Chatterbox Labs is an Enterprise AI software company that focuses on explaining, tracing, actioning, scoring bias, testing and detecting weaknesses in AI models pre and post-deployment.

Founding Academic

Matthew Purver, Professor of Computational Linguistics School of Electronic Engineering & Computer Science

Website

LANDR

Logo for LANDR Spin out

Business Activity

LANDR Audio Inc is a software technology company involving automatic music mixing algorithms that mix together individual channels of sound, for example, the instruments in a band; effectively replacing the need for a sound engineer and mixing desk. The first product is a hybrid of this for automatic mastering of music.

Founding Academic

Joshua Reiss, Professor of Audio Engineering, School of Electronic Engineering & Computer Science

Website

Nemisindo

Nemisindo Logo

 Business Activity

Nemisindo Ltd is a high tech start-upoffering sound design services based around innovative procedural audio innovations, see https://youtu.be/Jjzvlshr_Go. They recently secured an Epic Megagrant to provide procedural audio for the Unreal Game Engine, and their procedurally generated sound effects have been used in several major film and TV releases. Their online system offers real-time sound effect synthesis in the browser. It is comprised of a multitude of synthesis models, with tools for users to easily create sound scenes from scratch. Each of these models can generate sound real-time, allowing the user to manipulate multiple parameters and shape the sound in different ways.

Founding Academic

Joshua Reiss, Professor in Audio Engineering at School of Electronic Engineering & Computer Science

Website

Vision Semantics

Business ActivityVision Semantics Logo

Vision Semantics Limited provides unique Video Analytics solutions that are differentiated from the competition by being more discriminative and robust in defining meaningful semantic tags for wide-scale Video applications. This includes detecting and tagging objects in a CCTV scene; typical and atypical object movement and type information extracted to profile behaviours captured in CCTV and video; automated semantic-tagging of CCTV recordings based on holistic human presence detection and abnormal event/activity recognition.

Founding Academic

Professor Sean Gong, Professor of Visual Computation, School of Electronic Engineering & Computer Science

Website

Warblr Ltd

Business ActivityWarblr Logo

Warblr Limited is an app that automatically identifies birds by their song by marching audio recordings with its database of bird species.

Founding Academic

Dan Stowell, Senior Research Fellow, School of Electronic Engineering & Computer Science

Website

Dragonfly AI

Business Activity

Dragonfly AI is an AI/ML Technology which predicts human attention. Originating as an app and now a comprehensive platform, Dragonfly uses a biologically inspired algorithm developed by scientists at Queen Mary University of London.

The platform empowers teams across s business to test and optimise creative content for any channel, market and audience before it reaches the consumer.

With a focus on integrating AI into creative processes for optimal content performance, Dragonfly stands out as a leader in the attention economy. The platform, evolving from its original app form, has become a full product suite widely adopted by industry leaders globally. It offers reliable visual predictive analytics grounded in biological foundations, continuously enhanced through innovative research.

Dragonfly has made significant contributions to global consumer brands such as Mars, GSK, Nestle, Danone, SCJohnson, and Coca-Cola. By enabling these brands to predict, analyse, and influence people’s attention, Dragonfly AI helps them stand out in a competitive market.

Dragonfly AI recently raised $6m in Series-A funding – and Queen Mary continues to partner with Dragonfly to keep their technology cutting edge.

Founding Academic

Dr Hamiy Soyel, Research Fellow, School of Electronic Engineering & Computer Science

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