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.
founded/co-founded by EECS researchers since 2005
of the EECS spin out portfolio
over the past 7 years
Expand the sections below to find out more about some of our spin out companies.
Business Activity
Actual Experience plc analyses the digital supply chains that deliver digital products and services to leading brands around the world. These analytics provide the insight required to bring consistency to the quality of the digital experience of their customers and staff. For any organisation, this means that their most valuable asset - their employees - are liberated from digital slow time, their online brand reputation can be protected and they can make informed ecosystem investment decisions. Actual Experience is listed on the London Stock Exchange (AIM: ACT).
Founding Academic
Professor Jonathan Pitts, Professor of Communication Engineering, School of Electronic Engineering & Computer Science
Website
The Mokapot toolkit is a combination of tools and runtime components that enable JVM-based applications to be executed in a distributed environment transparently without the need for non-native language technologies for distributed operation, such as Web APIs or Microservices.
Mokapot makes JVM-languages software development for cloud, mobile, and IoT development as easy as conventional single-device programming. An application is developed as if for a single device, with additional devices being drawn in automatically and seamlessly. We call this “elastic co-processing”. With it, the distribution of computation is abstracted away from the code, making it transparent from the developer’s perspective.
Dr Nikos Tzevelekos, Senior Lecturer in Comptuer Science, School of Electronic Engineering & Computer Science
Augmented Instruments Limited focuses on commercialising QMUL tech-based digital audio technology that have no natural licensee but could have significant sales as products, either direct to customers or through established distribution channels. The first product Bela is an embedded audio processing platform based on open source.
Andrew McPherson, Associate Professor in Digital Media, School of Electronic Engineering & Computer Science
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.
Andrew McPherson, Reader in Digital Media, School of Electronic Engineering & Computer Science
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.
Matthew Purver, Professor of Computational Linguistics School of Electronic Engineering & Computer Science
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.
Joshua Reiss, Professor of Audio Engineering, School of Electronic Engineering & Computer Science
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.
Joshua Reiss, Professor in Audio Engineering at School of Electronic Engineering & Computer Science
Tonz, a neural net audio processing plugin, is a state-of-the-art technology that produces amazing sounding effects by creating accurate models of studio devices, from audio data alone.
TONZ technology can generate digital models of real-world audio processing devices without any code.
Joshua Reiss, Professor of Audio Engineering and Dr Emmaunual Benetos, Senior Lecturer, School of Electronic Engineering & Computer Science
TouchKeys is a technology for adding touch sensing capability to a piano-style digital keyboard. Measuring the movement of the fingers on the key surfaces greatly expands the expressive range of the keyboard, allowing techniques like vibrato, pitch bends and timbre changes to be played easily and intuitively. Unlike other products in the musical controller market, TouchKeys retains the traditional look and feel of the piano keyboard, making them more accessible to pianists, as well as providing a unique solution for piano tutoring and learning.
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.
Professor Sean Gong, Professor of Visual Computation, School of Electronic Engineering & Computer Science
Warblr Limited is an app that automatically identifies birds by their song by marching audio recordings with its database of bird species.
Dan Stowell, Senior Research Fellow, School of Electronic Engineering & Computer Science