From custom AI chatbots to improve customer services, to image recognition systems for identifying stock within retail and models for planning optimisation across factory floors. We collaborate with organisations to design and develop machine learning models optimised to their specific challenges, data and operational environments.
Whether you're looking to optimise planning, implement predictive analytics or leverage custom deep learning algorithms, we'll build tailored models leveraging leading frameworks like TensorFlow, PyTorch and Scikit-learn to develop, train and deploy machine learning models tailored to your exact needs that can scale.
We machine learning projects by gaining a thorough understanding of your business objectives, data landscape and constraints. Our machine learning engineers assess whether to build a new model from scratch for full customisation, or leverage a predefined model architecture.
We'll work together to collect, cleanse and prepare your data to feed into machine learning models. Our data consultants will then begin developing and tuning models - selecting appropriate algorithms, network architectures and parameters for optimal performance and generalisability.
We train machine learning models on your data to learn the key patterns and relationships, followed by evaluating trained models to ensure they generalise well to new, unseen data.
We'll progress to deploy the models into your production environments - hosting via APIs or embedding within applications. With ongoing monitoring and optimisation to ensure models continue meeting your needs as new data emerges.
Commodity contracts and services supported for one of the world's largest agricultural organisations
Funding allocation managed each year for the nation’s largest funder of health and care research
Pupils tracked across 12,000 UK wide schools
Annual sales supported through a knowledge management platform for a global manufacturer
From custom AI chatbots for enhanced customer services, to predictive analytics tools for preventative product failure.
Creating chatbots, virtual assistants, IoT experiences and other AI services for improved communication.
Leveraging combinatorial optimisation models to solve problems from task scheduling to capacity planning.
Training machine learning models for predictive analysis across a range of use cases, products and environments.
From frameworks including PyTorch and ML.NET, to AI cloud services within Azure and AWS.
From manufacturing and transport, to healthcare and retail.
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.
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.
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.
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.
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.
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
Insights on the latest industry developments and technology advancements within AI & machine learning.
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.
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.
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
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
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.