Impact


Turning data into insight

Recent advances in data science have yielded powerful data analysis techniques. When deployed effectively, these provide insight that can be exploited to huge commercial advantage.

Building on the latest technical developments, our advanced capabilities in machine learning and deep learning enable us to push the boundaries of what computing can achieve.

Using the insight we deliver, our clients are able to optimise their processes, reduce costs and tailor their digital services to individual users. 

Our strengths



Data visualisation
We combine expertise in cutting-edge analytics with modern user interface design to help users ‘see’ only the most relevant information in large data sets, providing visual insight that is increasingly valued by analysts and consumers alike.
Open-source
Big players in the analytics field commonly release open-source algorithms and tools. Our unbiased approach, free from ties to a particular platform, gives us the agility to quickly leverage best-in-class algorithms.
Data deluge
Many organisations are overwhelmed by vast amounts of noisy data. Our expertise in a range of analytical techniques enables us to extract critical information from large, unstructured datasets.

Experience


We have been developing algorithms for a range of commercial applications since the mid-2000s.

Our data science and analytics team is made up of mathematicians and theoretical physicists with proven expertise in designing and applying algorithms to solve real-world data problems.

SparTag

Analysing motion from inertial sensors to create consumer wearable products

3D Holographic Radar

Data processing and tracking systems for an innovative air traffic control radar

Tech, tools & facilities


Digital Greenhouse
 

Digital Greenhouse

The Digital Greenhouse is our purpose-built AI research facility, specifically designed to discover, develop and test machine learning approaches in a fast, secure environment. The facility features an NVIDIA DGX-1 Deep Learning Supercomputer, a bank of machine learning computers, petabyte local storage and many teraflops of dedicated compute power.

Case studies


Case study

The Aficionado

We set ourselves the challenge of creating a machine learning system that could address the infinitely complex world of music. The result is The Aficionado.

Case study

Iridium Extreme satellite phone

The first truly global ‘Push-To-Talk’ mobile communications system, Iridium Extreme PTT has provided the low-earth orbit leader with a valuable new revenue stream.

News & insights


Opinion

Listening to the voice of the consumer

19th February 2018

A person’s voice, with the help of machine learning, can tell us a lot about that person. How can we really understand what the consumer thinks of our product while we are designing it?

  • Data science & analytics
  • Machine learning & AI
  • User Experience (UX)
Opinion

CES 2018 - from voice recognition to voice understanding

23rd January 2018

Speech recognition was everywhere at CES 2018. Here I explain a different machine learning approach to voice recognition, and to Explainable AI.

  • Data science & analytics
  • Machine learning & AI
  • Product realisation
Opinion

Digital health trends at CES 2018

19th January 2018

The Digital Health Summit at CES2018 was a real eye opener for me this year. Many of the companies and speakers I see at other digital health conferences - where traditional pharma, biotech and...

  • Augmented reality & virtual reality
  • Connectivity & IoT
  • Data science & analytics
  • Digital health
  • Service design
Whitepaper

Real-time crop monitoring a new vision for agriculture

15th November 2017

Sophisticated yield prediction and crop health tools are available for commodity crops, particularly cereals. So far, little is available for salads, vegetables and fruit, although these make up a substantial...

  • Data science & analytics
  • Sensing

We can help you achieve the impossible