AI/Machine Learning

Enabling organisations to improve decision making, forecast future outcomes, better engage with customers and adapt to changing markets.

O2National Institute for Health ResearchScaniaClient Logo 1 ADMBellwayEngine Software Development Logo Client Logo 2 Northern Trains

We collaborate with organisations to leverage AI & machine learning to improve services and make decisions better, faster and at scale.

From building predictive machine learning models for a global medical device company, to implementing optimisation algorithms for intelligent work scheduling for one of the UK's largest insurers and leveraging natural language processing to deliver WhatsApp travel chatbots for a public rail organisation.

We partner with industry leaders to deliver strategies to utilise AI and machine learning to enable them to become data-driven, empowering organisations to make intelligent improvements across services that provide ongoing benefit now and into the future.

Delivering end-to-end AI & machine learning services — from AI consultancy, process analysis and data valuation, to prototyping, development, QA and support.

Our AI and machine learning projects begin with initial discovery and analysis sessions. We’ll work closely with your stakeholders to review existing processes and datasets, as well as evaluate new opportunities to identify where AI and machine learning solutions are both viable and add immediate value.

We’ll work together to assess different technologies and architectures to develop a strategy for implementing AI and machine learning, exploring various types of solutions — from predictive analysis models, to reactive machines. Following this, we’ll develop proof of concepts and prototypes for initial feasibility studies and to generate early feedback.

We’ll collaborate to help you plan and deliver strategies for data cleansing, transformation, consolidation and warehousing, as well as ensuring that your systems and infrastructure can support sophisticated models. Overall enabling your organisation to find and consume the information you need to become data driven, provide better services and scale.

£3.5 billion

Commodity contracts and services supported for one of the world's largest agricultural organisations

£317 million

Funding allocation managed each year for the nation’s largest funder of health and care research

2.5 million

Pupils tracked across 12,000 UK wide schools

£170 million

Annual sales supported through a knowledge management platform for a global manufacturer

Helping organisations to leverage different types of AI and machine learning solutions

From leveraging machine learning models to optimise planning across work scheduling, to utilising natural language processing to improve customer experiences.

Natural Language Processing

Creating chatbots, virtual assistants, IoT experiences and other AI services for improved communication.

Planning Optimisation

Leveraging combinatorial optimisation models to solve problems from task scheduling to capacity planning.

Predictive Analysis

Training machine learning models for predictive analysis across a range of use cases, products and environments.

Azure OpenAI Service

Delivering applications using GPT-3/4 powered search, conversation, text completion and other advanced features through the API.

AI Cloud Services

Rapidly adopt and leverage pre-built, pre-trained models for use cases such as sentiment analysis, image detection and anomaly detection.

Using industry standard tools and technologies

From Google OR Tools and ML.NET, to Azure Cognitive Services and AWS AI Services.

Delivering AI and machine learning solutions to organisations across industries

From manufacturing and automotive, to rail and agriculture.

Northern
A WhatsApp travel chatbot for live train information across 2,500 stations

Northern Trains is a train operating company that provides services across the North of England. With over 500 calling stations, the company connects major cities like Manchester, Leeds and Newcastle. The company plays a crucial role in facilitating transportation and commuting for thousands of passengers every day.

Food Manufacturer
AI image recognition to identify products within supermarkets

A UK-based large food manufacturer, established for over 100 years, providing products as part of a healthy, balanced diet, through a range of products to suit all meal occasions, lifestyles and tastes.

Global medical device company
Machine learning for predictive planning optimisation

A global leading provider of infection prevention and other procedural products and services, focused primarily on healthcare, pharmaceutical and medical device customers, with more than 17,000 associates worldwide.

Nationwide Energy Provider
ML models to detect inaccurate or overestimated energy bills

A nationwide energy provider who specialises in supplying energy to a wide range of businesses with a UK-based team, from SMEs through to large national chains, knowing what energy challenges businesses face and how to support them.

SaaS No Code Platform
An AI onboarding assistant to build custom applications

A no-code work management platform that enables anyone to replace spreadsheets with custom applications to track and manage work. From marketing professionals, to sales teams, HR managers and agencies of all kinds, empowering people across all industries to innovate by developing the software that they need.

Tom Broadbent, AESSEAL plc

The way that we work is that we are subject matter experts, we know our business, we know our customers, we can then have that conversation with the team at Audacia. It is very much a collaborative 2 way process and the level of communication is just fantastic.

- Tom Broadbent, AESSEAL plc

Our latest insights in delivering AI & machine learning services

Insights on the latest industry developments and technology advancements within AI & machine learning.

Demystifying AI: An IT Leaders Guide to AI & Machine Learning
Demystifying AI: An IT Leaders Guide to AI & Machine Learning

We explore everything everything from the fundamental concepts of AI and ML, approaches and use cases, to industry examples of implementations across data, vision and language.

MLOps Best Practices: Enhancing Model Lifecycles in the Cloud
MLOps Best Practices: Enhancing Model Lifecycles in the Cloud

In today’s fast-paced technological environment, AI and machine learning are being adopted for innovation and efficiency in various industries. This article covers MLOps best practices and the critical role of tools and technologies in facilitating efficient ML lifecycle management.

Audacia and Northern launch new AI WhatsApp chatbot for enhanced customer service
Audacia and Northern launch new AI WhatsApp chatbot for enhanced customer service

Software development company, Audacia, has partnered with Northern, one of the UK's largest rail operators, to launch an innovative new AI-powered chatbot on WhatsApp

An introduction to Azure OpenAI Service: Benefits, use cases and best practices
An introduction to Azure OpenAI Service: Benefits, use cases and best practices

Azure OpenAI Service offers a wide range of models with different capabilities and price points, including the latest GPT-4 models currently in preview. Here we look at how Azure OpenAI Service works in more detail and evaluate the benefits, use cases and best practices

Building a platform to support over £170m annual sales
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AESSEAL is the fourth largest mechanical seal manufacturer in the world, hitting a record of £170 million turnover last year, with offices in 104 countries, with their focus on customer service and quality seeing them grow year on year since they were established in 1979.

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As a first step in the process, we offer a free consultation around your current setup. We'll discuss your challenges and goals and see whether we could be a good fit for delivery.

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Sarah Thorp The National Institute of Health Research (NIHR)

From start to finish the working relationship between Audacia’s team and ours was productive from the iterative development approach, meaning we worked in shorter time frames but increased levels of communication to ensure all updates were reviewed quicker. Audacia’s end platform delivered on all aspects.

Sarah Thorp, The National Institute of Health Research (NIHR)