Artificial intelligence, or AI, is the creation of machine intelligence that emulates functions normally associated with the human brain. AI can understand large amounts of data more quickly than humans and is an enabling technology to drive invention and innovation.

Understanding the impact of artificial intelligence on business is tough. We work with clients to push the boundaries of the human-machine interface – to develop edge AI use cases, generative AI models, new supervised machine learning models and types of data analytics.

These are unlocking new frontiers in areas such as uncrewed aerial vehicles, synthetic biology, remote monitoring systems, telecoms and beyond.

What we do

Cambridge Consultants is a proven leader in responsible AI and its application. We have been pioneers in Bayesian inference, real-time signal processing and data analysis.

And we continue to push our technical skills in areas such as simulation, predictive analytics, deep learning, edge AI and empathetic AI, working with clients to realise the potential of AI for the good of business, society and the planet.

For us, there are four fundamentals of AI and data analytics.

AI perception

Turning raw sensor data into context and meaning using multi-layered neural networks is the backbone of AI perception. It elevates the value of machines through real-world, real-time machine learning models.

These can interpret complex data sets and advanced sensing inputs using advanced analytics, enabling machines to understand data inputs from the world around them.

Our data scientists harness multilayered neural networks to quickly gain insights from large quantities of data, to classify, predict outcomes and even create new content (generative AI).

Our state-of-the-art data science skills and simulation techniques enable you to gain clarity in various domains. From helping farmers detect crop health to enabling healthcare professionals to make precise diagnoses, our solutions bring intelligence to the forefront of decision-making.

AI decision

Building systems that anticipate, plan and interact is complicated and challenging. Collecting and correctly interpreting data is the start, but true intelligence comes from making the best, informed decision and taking optimal actions.

To improve the decision making of AI systems, we use simulated environment training. Broadly categorised into supervised machine learning, unsupervised machine learning and reinforcement learning, simulation helps machine learning algorithms more quickly learn the salient characteristics of data (label data) that represents the use case of interest.

Training is typically data hungry and compute intensive. Data labelling is often manual and time consuming. So hybrid approaches like semi-supervised learning aim to reduce the training effort by combining the strengths of different learning methods.

We can help you enhance machine performance through the power of intelligent decision making in areas such as national infrastructure, autonomous platforms, or by deploying reinforcement learning agents.

Edge AI

Making AI run smaller, faster, cheaper and independently, edge AI unlocks transformative products and services by deploying artificial intelligence beyond traditional data centres. It enables low-power, independent systems autonomy in decision making without having to connect to a central data centre.

Current edge AI systems infer trends locally, but are trained at large, high-compute, high-power data centres before being deployed. The result is a response that is, by design, not current and probably increasingly inaccurate as trends evolve. The challenge is to enable responsiveness to short-term signal variations while simultaneously evolving functionality in response to long-term contextual variations.

Generation-after-next AI-enabled ecosystems will be increasingly dynamic and responsive to data sources. This will fundamentally redefine our approaches to communications, manufacturing, emergency services and healthcare – enabling adaptive responses based on learning local trends and performing relevant interventions.

We have teams of data analysts exploring new technologies that apply deep learning algorithms at the edge. We work with clients to overcome size, cost, power and connectivity constraints with pioneering edge AI solutions.

AI assurance

Artificial intelligence has the power to transform businesses and revolutionise markets. But it is also at risk of exploitation and requires a framework to allay concerns over ethics, safety and regulation, worries about AI’s impact on jobs, as well as increased inequality and extreme fears of AI getting out of control. CC’s AI assurance approach does just that.

It is based on the foundations of explainable AI, transparency and security, and is designed to build trust in systems, dynamically test them, and identify gaps in how they work for remediation. By following its approach, businesses can not only assure their AI services but also achieve a faster speed to market.

Our work is aimed at creating better human-machine understanding – a field that covers areas such as empathetic AI, artificial empathy, emotional artificial intelligence and human-machine interaction.

By detecting, perceiving and interpreting changes in the human state, AI can use hidden layers of meaning to support their human teammates. This allows machines and humans to seamlessly adapt to optimise team performance and minimise risk. It’s taking us rapidly towards the realm of hybrid human-machine workforces, where the positive business and societal implications are extraordinary.

What is artificial intelligence?

The way we do business has to change. Fixing the great problems of energy management, food inequity, water and global health requires nothing less than a paradigm shift. Our focus at CC is on innovation with business and societal impact that reflects the three pillars of sustainability (social, environmental and economic). This impact is about a long game that requires us to employ AI tools to unleash our collective knowledge and creativity.

How we can help you

AI Assurance

Cambridge Consultants believes that AI is at risk of exploitation and requires a framework to allay concerns over ethics, safety and regulation. Our AI assurance framework is designed to build trust in systems, dynamically test them, and identify gaps in how they work for remediation. By following its approach, businesses can not only assure their AI services but also achieve a faster speed to market.

AI strategy, planning and innovation management

We offer an unparalleled and rare mixture of market insight and deep tech expertise. Our services encompass meticulous technology evaluation, insightful partner and ecosystem assessment, thorough options analysis, and unwavering investment case and transaction support. If you add our deep tech expertise to the scale of our parent company Capgemini, we can take you from the tough technical to the business transformational – a true end-to-end service.

Featured insights

Our expertise

CC has a deep understanding of AI and its applications. Our expertise spans, Bayesian inference, real-time signal processing and data analysis and is combined with extensive technical skills in areas such as predictive analytics, deep learning, edge AI and empathetic AI.

Our consultants are pushing the boundaries of the human-machine interface to develop edge AI use cases, generative AI models, new supervised machine learning models and types of data analytics.

Our work is unlocking new frontiers in areas such as uncrewed aerial vehicles, synthetic biology, remote monitoring systems, telecoms and beyond.

At CC we are the leading the way in intelligent simulation tools, offering a comprehensive suite of services for testing autonomous systems.

Our unique approach utilises synthetic data to create tailored operational environments, run AI algorithms and evaluate sensor performance.

This advanced simulation offers numerous benefits, including the potential for up to 95% reduction in data collection costs, accelerated product development, improved safety and scenario testing.

We have the world’s largest independent wireless development team. It spans, radio frequency, communications protocol, digital signal processing, power-optimised analogue and digital electronic design, embedded software, user experience and mechanical design.

Our consultancy expertise has led to the creation and development of several major wireless technologies and delivered a steady stream of disruptive breakthroughs. They include, RF and satellite telecommunications to the world’s first wireless pacemaker and the ground-to-air radio system that controls more than 50% of the world’s air traffic.

CC covers everything from high-reliability sensing for ultra-harsh environments to low-cost, low-power consumer devices. With broad expertise and technology agnostic approach, we deliver optimal solutions across the whole spectrum of sensing.

Our work includes physical modelling (computational flow dynamics and finite element), analysis for new sensing principles and the development of innovative machine vision and machine learning systems.

Expensive yet powerful microcontrollers and GPUs mean more value can be derived from commodities like CMOS cameras, accelerometers and magnetic sensors. Through value engineering of established designs, and by using novel DSP algorithms to extract more data, we deliver huge leaps forward in performance while reducing costs.

Electronics are central to almost every product we develop – they make a device smart, allow it to communicate with other systems or enable it to perform an action.

Electronic engineering has been a core skill since our inception in 1960 and our technology consultants have been developing ASICs since the late 1980s.

From integrated circuits and embedded systems to power supply and analogue circuitry, CC is an electronic design consultancy that pushes the boundaries of performance, cost, size and efficiency.

Our facilities

AI infrastructure

CC’s comprehensive onsite compute infrastructure allows us to explore options and train and test models more rapidly to 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.

Digital lab

With one petabyte local storage and specialised hardware for telecoms chassis design, machine learning development and more, this facility allows us to develop, test and operate new cloud-ready digital services rapidly in a secure environment.

It enables rapid end-to-end prototyping and experimentation of sensitive concepts. We work across the full spectrum of cloud service providers, supporting both public and private infrastructures.

Digital operating room

Our digital operating room is a unique innovation lab enabling clients and surgeons to collaborate with our R&D teams on transforming the future of surgery.

This innovation space accelerates the development of digital surgery platforms, such as next-generation surgical robots and visualization systems, as well as smart implants and critical care systems.

Clients use our digital operating room for strategy and visioning workshops, human factors formative research, concept brainstorming, prototype development, and verification testing of complex digital surgery platforms.

Autonomous vehicle simulator

This powerful asset will help you evaluate and validate advanced sensors and algorithms, including next generation radar and LiDAR.

The ability to assess safety and performance without expensive testing and physical data collection vastly accelerates product development for vehicle manufacturers and suppliers.
The simulator uses synthetic sensor data to run high throughput validation of perception, planning, prediction and control algorithm designs and evaluate proposed sensor suites.

Our experts

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