Impact


Machine learning is at the core of a new wave of artificial intelligence applications limited only by our imagination.

New algorithmic approaches, recent jumps in processing power and large training data sets generated by internet users mean that, for the first time, machines can learn to solve useful problems without explicit programming.

Infinite possibilities

We’re working at the frontier of this vital, transformative technology, developing systems that leverage deep learning techniques to achieve unprecedented performance in a huge range of applications.

From detecting anomalies and attacks in networks and learning to control legacy systems to high-performance audio and image processing and interpretation, optimising infrastructure deployment and natural communication with humans, the possibilities are endless.

Welcome to the Digital Greenhouse

The Digital Greenhouse is a purpose-built facility designed for discovering, developing and testing machine learning approaches in a fast, secure environment.

Inspired by botanical sciences, our team ‘grows’ hundreds of strains of models to understand where the richest pickings are to be found – beyond the confines of ordinary software development methodologies. New algorithmic hopefuls are assessed against long-standing commercial and industrial challenges, such as optimising the deployment of cellular infrastructure or detecting anomalies on a manufacturing line.

State-of-the-art compute resource

The Digital Greenhouse runs on high-performance computing based around NVIDIA’s DGX-1 Deep Learning Supercomputer and other GPU- and FPGA-accelerated servers, providing petaflop-scale compute on-site.

This links to petabyte-scale local storage, project-specific clouds and our continuous integration systems. When our organically grown machine learning is ready, we can export models easily to customers’ own compute facilities or the cloud.

Experience


Versatility and breadth

Our machine learning expertise spans older, established techniques such as Bayesian inference and support vector machines, through to the latest advances in deep learning, generative networks, natural language processing and unsupervised learning.

We can design, develop and deploy sophisticated bespoke machine learning systems from the ground up or work with third-party services and platforms. Particular specialities include real-time/low-latency processing at the network edge, lower power silicon design for machine learning and tools that allow deep learning to be trained effectively with much smaller datasets than is typically believed possible.

Interested in joining us? 

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

Analog devices smart car park monitoring

Paving the way for low-cost, real-time sensing for smart buildings and smart cities, using machine vision and a low-cost processing platform

 

Pick of the bunch

Nature doesn’t provide blueprints, which are why our robot system can cope with handling all kinds of different fruit – and can even sort red apples from green ones.

 

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.

News & insights


Whitepaper

Extracting value from e-waste

24th July 2018

Year on year we’re producing more and more waste electronics – e-waste. Recovering the valuable materials embedded in e-waste will become significantly more important. At present this is a highly manual process...

  • Innovation management
  • Machine learning & AI
  • Sensing
Opinion

Experiential sensing

1st June 2018

As major brands strive to maintain consumer relevance, innovative brands will turn to technology for a deeper understanding of their customers.

  • Digital services
  • Machine learning & AI
  • Sensing
Opinion

2018 - the year of robot farming?

11th January 2018

The last two years have shown an incredible game changing growth in the capabilities of machines, and automated systems. Agriculture faces a need to automate, and a push of immature technology...

  • Digital services
  • Machine learning & AI
  • Robotics
Opinion

One voice to rule them all?

12th February 2019

The consumer tech space changes fast. Alexa is doing well, especially in the US and UK. What does it mean for Amazon? And where to go from here?

  • Machine learning & AI
  • Strategic advice

Events


Event

The AI Summit 2019 - China Roadshow

26th Feb 2019
The Residence of British Ambassador to China, Beijing, China

Showcasing the best of British AI, The AI Summit China Roadshow brings together leading artificial intelligence organisations from China and the rest of the world to preview the latest developments.

Event

World Agri-Tech Innovation Summit 2019

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Hilton Union Square, San Francisco, CA

We’re delighted to be a Gold sponsor of the World Agri-tech Innovation Summit, where we’ll be part of a panel discussing the opportunity for Robotics in agricultural environments.

Event

The AI Summit San Francisco 2019

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The Palace of Fine Arts, San Francisco, CA

Now in its third year, The AI Summit is the world’s first and largest conference and exhibition to look at the practical implications of AI for enterprise organisations that are set to transform business productivity.

Event

Mobile World Congress 2019

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Fira Gran Via, Barcelona, Spain

We're excited to be exhibiting at Mobile World Congress 2019 where we’ll be showcasing our work to help clients develop transformative 5G and IoT technology and services.

We can help you achieve the impossible