Global mar-tech data company, integrated with all major programmatic ad trading exchanges, social media data and news sources, processing over 5 trillion classifications per month.
Software for a ‘bank-out-of-the-box’ run fully in the cloud. Built by talented ex-Google engineers using highly scalable web technologies and incorporating smart contracts and blockchain functionality.
Addressing the next frontier in life sciences – the sequencing of proteins at scale. Fluidic develops machines that make protein characterisation radically faster, more accurate and cost-effective.
Cloud service for fast and more accurate speech recognition, utilising advanced deep learning methods developed in Cambridge.
Embedded, cloudless AI software that gives machines a sense of hearing. Applications range from large or high-growth connected consumer technology markets such as smart home, smart speakers, hearables, connected cars and smartphones.
Platform enabling merchants to seamlessly offer instalment finance to their customers, by finding the best match in real-time with underwriters.
Oxford Space Systems
8Developing a new generation of deployable structures for use in space that are dramatically lighter, more reliable and lower cost. Its products are suitable for the latest generation of Nanosats and Microsats.
Big Data platform for historical full-depth trading exchange data enabling improvement of trading algorithms and back testing using advanced Machine Learning and inference frameworks.
Computational imaging to enhance detail, aid visual accessibility and create beautiful pictures identical to those seen by the human eye. Enables ‘fusion’ of images, perception-based processing and automatic image enhancement.
‘Super GPS’ software which dramatically improves the sensitivity and performance of existing radio-based positioning systems, providing new capabilities and services in urban environments and inside buildings.
Myrtle accelerates performance critical workloads on FPGAs : devices that are currently being deployed at scale in data centers around the world. Myrtle has realized multiple proprietary deep learning networks as silicon designs so that they execute at a latency and power point that makes them usable in real-world situations.
Providing large-area graphene for next-generation, two-dimensional material based, electronic and mechanical devices. Paragraf produces graphene tuned and targeted for its development technologies delivering performance characteristics that enable the end applications.
Agri-Tech – Crop intelligence platform combining precision agriculture, big data, cloud computing and machine learning to deliver clear decision points to agri-enterprises and their farmers.
Fully automated diagnostic and prognostics platform for increasing ROI on manufacturing assets and cutting costs of machine maintenance.
Digital Publisher supporting the entire publishing process, also enabling authors to crowd fund on the platform, giving them room for more creativity and choice in their books.
Legal Tech cloud platform enabling both law firms and businesses to have real-time billing, budgeting and visibility for any legal matter in progress, aggregating or itemising the details for each firm engaged.
Stock-exchange and funding platform for startups: first and only platform in the world where startup and growth companies are funded, traded and researched globally. Based on unique block chain technology for reliability and accuracy.
Bloomsbury AI is developing software that will enable anyone to teach a computer any of their knowledge and expertise merely using natural language. The software can read and understand text and, using advanced machine learning techniques, convert that understanding into computational code or a structured knowledge base, and then users can query or adjust this knowledge base using natural language interactions.
Building and managing the UK’s leading Out-of-home Electric Vehicle charging network, based on reliability, ease of use, value and accessibility
Delivers machine learning and biometrics-based insights on the well-being of individuals and employees, focused on managing their stress and improving their productivity.
Machine learning for CRISPR libraries: enables life scientists to expertly design any genome editing experiment in any cell line and fully realise the opportunities of CRISPR/Cas9 technology.