Artificial intelligence category finalists in our Entrepreneurial Science and Technology Awards
PUBLISHED: 00:00 12 July 2017 | UPDATED: 00:25 12 July 2017
Meet the businesses shortlisted in the AI section of the Cambridge Independent awards
The Cambridge Independent’s inaugural Entrepreneurial Science and Technology Awards will be announced on September 21 at the Venturefest East businesss showcase event at Newmarket Racecourse.
A judging panel has selected the following finalists in the artificial intelligence category.
Co-founded by experimental physics experts Jeremy Sosabowski and Wei Teo, AlgoDynamix is a pioneering portfolio risk analytics company focusing on financially disruptive events. Its customers include investment banks and asset managers.
The deep data algorithms underpinning the AlgoDynamix analytics engine use primary data sources – the world’s global financial exchanges – and proprietary unsupervised machine-learning technology.
The analytics engine detects market anomalies and anticipates directional price movements hours or days in advance of the event. Unlike competitive solutions, its real-time analysis does not rely on historical data or previous disruptive events.
From its new, larger offices in Cambridge’s Quayside, Audio Analytic teaches software to recognise and react to sounds which, when embedded into an electronic device, can enable a new generation of enriching consumer experiences. This is a new discipline and it’s being called artificial audio intelligence.The range of products that can use this technology is endless.
If your dog is barking at somebody in your garden, the technology could enable your house to turn on the lights, connect you to a security camera or alert the emergency services. Or if your newborn baby cries in the middle of the night, it could turn on the hallway light at a low hue, play a lullaby or wake you up via your wearable. As the much-heralded Internet of Things builds and the smart home takes off, Audio Analytic is enabling consumer technology companies to build intelligent devices.
Using recurrent neural networks pioneered by Dr Tony Robinson during his PhD, Speechmatics’ brilliantly accurate speech recognition technology opens up new ways of doing business.
Insurance companies can find significant speech within recordings of customer calls, broadcast media can provide accurate real-time captioning and transcribing audio becomes quick and easy.
The company’s AI framework, called Auto-Auto, can self-improve continuously and is capable of learning a new language in just a couple of weeks by listening to it.
Speechmatics’ technology is used by clients such as the BBC, Udemy, MixCloud and the University of Cambridge.
Our judges, sponsors and supporters
The judging panel consisted of Charles Cotton, of Cambridge Phenomenon, Hermann Hauser, of Amadeus Capital Partners, Julia Gwilt, of Appleyard Lees, Nick Sayer, of Woodfines Solicitors, Caroline Austin, of AstraZeneca, Lindsey Copland, of Grant Thornton, and Cambridge Independent editor Paul Brackley, who chaired the panel.
The sponsors for our awards are: Appleyard Lees, Woodfines Solicitors, Grant Thornton and Regus.
Supporters of the awards are: the World Nano Foundation, World Science Aid and Enabling Tech Capital.
We have also selected finalists in biotech, cleantech, fintech and medtech categories - details coming soon.