We use artificial intelligence, machine learning and advanced analytics to help our clients deliver world-changing innovations.

We work with you to set direction, redefine what’s possible and make it reality. We don’t just apply state-of-the-art AI, we create it.

Setting direction

Working in partnership with business and policy leaders, we identify, respond to and capitalise on the disruptive potential of artificial intelligence.

Our unique combination of market insight and boundless technical depth provides clarity to chart the best course.

Our services span technology, partner and ecosystem landscaping, options assessment and investment case and transaction support.

Redefining what's possible

We enable data scientists and researchers to advance the state-of-the-art in deep learning and to unlock transformative capability and IP for their organisations.

This may be by applying the latest techniques to solve domain-specific challenges, validation and proof of concept of academic research or novel architecture development.

Understand & harness the potential of AI

Making it reality


With a proud track record of breakthrough product development, we partner with product and engineering teams to deliver AI-powered systems and services that transform their markets.    


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Perception
Turning raw sensor data into context and meaning
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Decision
Building systems that anticipate, plan and interact
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Edge
Making AI run smaller, faster, cheaper
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Enterprise
Creating new services from distributed data

Perception

Real-world perception makes machines more valuable, through enhanced decisions and services. To make sense of a complex world requires layers of intelligence and rigorous training.

We use state-of-the-art data science and simulation to help you make sense of the world. From helping farmers detect crop health, to enabling healthcare professionals make more accurate diagnoses.

Decision

True intelligence and machine+human collaboration require those machines to make meaningful decisions and to take the ‘right’ action. This means rapidly predicting the future and choosing the best option in an uncertain world.

From helping to coordinate national infrastructure, through the creation of autonomous platforms, to reinforcement learning agents that explain their actions, we improve machine performance through intelligent decision making.

Edge

Delivering transformational products and services means taking artificial intelligence out of the data centre and into the real world.  Out here, constraints of size, cost, power and connectivity present new challenges that only the best can solve.

We redefine the possibilities of artificial intelligence at the Edge. From signal processing in billions of mobile phones, to AI in smart inhalers, we’ve generated billions of dollars of value for our clients, by creating and optimising world-leading silicon platforms.

Enterprise

Data is everywhere and when used effectively, can transform organisations and markets. But delivering on this promise requires us to unearth the right insights at exactly the right time.

Our team is a unique blend of data science, user experience, physics and device-to-cloud engineering.  We help clients create new data-driven service concepts to meet real-world needs.   

We can help you achieve the seemingly impossible

Pedigree & prowess

For decades, global corporations, governments and policy makers have turned to us to understand and harness the potential of data science and artificial intelligence.

From a heritage in Bayesian inference and hard, real-time signal processing, we’re now advancing the state-of-the-art in deep learning, creating world-leading sensing systems and pushing the limits of device performance.

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.

AI infrastructure datalab
 

AI infrastructure

Our onsite compute infrastructure allows us to explore options, train and test models more rapidly and get better results.

 

We run petaflop-scale, containerised compute on site, with multiple NVIDIA DGX-1 Deep Learning Supercomputers and other GPU and FPGA-accelerated servers. This links to petabyte-scale local NetApp storage, project-specific cloud and our continuous integration systems.

Interested in joining us? 

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


Opinion

Enabling autonomous vehicles to see in adverse conditions

23rd January 2020

During 2020, advanced driver assistance systems (ADAS) will continue their rise as one of the fastest growing technology segments in the automotive market. As manufacturers look to increase safety and improve the driving experience...

  • AI & Analytics
  • Connectivity & IoT
  • Digital services
  • Electronics & ASICs
  • Sensing
Opinion

Service innovation: the time is now

20th January 2020

We have reached a defining moment in the pursuit of economic value. The commercial imperative that transitioned from the exchange of goods to the revolution of services is now settling on the goal of delivering ...

  • AI & Analytics
  • Connectivity & IoT
  • Digital services
  • Service design
  • Strategic advice
  • User Experience (UX)
Opinion

Exploring the potential for non-contact monitoring for sepsis, the quick and costly killer

17th January 2020

Sepsis is a life-threatening response of the immune system to infection that can lead to tissue damage, organ failure and the risk of permanent disability or death. Detecting and treating it early can be highly effective in stopping progression. The trouble is that implementing the level of monitoring required to catch sepsis at the earliest stages is tough outside critical care settings. 

  • AI & Analytics
  • Connectivity & IoT
  • Digital health
  • Sensing
  • Signal processing
Whitepaper

The future of patient monitoring

1st July 2019

Patient monitoring is an inherent part of patient management. Intermittent and continuous measurements have a range of uses, from defining disease states and characterising progression to informing therapeutic approaches and...

  • AI & Analytics
  • Connectivity & IoT
  • Digital health
  • Digital security
  • Digital services
  • Human factors
  • Product realisation
  • Sensing
  • Service design
  • User Experience (UX)

Events


Speaker

Bio-IT World Conference & Expo 2020

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Sea Port World Trade Centre, Boston, US

Bio-IT World Conference & Expo is the world’s premier event showcasing technologies and analytic approaches that solve problems, accelerate science, and drive the future of precision medicine.

Speaker

SAE WCX 2020 World Congress

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TCF Center (formerly Cobo Center), Detroit, USA

Automotive experts from Cambridge Consultants will join nearly 9,000 decision-makers, engineers, and R&D professionals at WCX 2020 to shape the future of mobility.

Event

LAMMA’20

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NEC, Birmingham, UK

We are delighted  that Simon Jordan, our Head of Industrial Sensing at Cambridge Consultants will be presenting as part of the Farming 4.0 programme at LAMMA’20. His session will focus on how innovative technology can transform food production with AI driven precision agriculture.

SpeakerSponsor

AI Summit 2019 Seoul

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Coex Grand Ballroom, Seoul, Korea

The AI Summit Seoul focuses on the business impact of AI, covering strategy, implementation and use cases. Topics will range from autonomous driving to computer vision.