Industrial Manufacturing

Delivering technology solutions to digitally transform leaders across the manufacturing industry

In an industry that relies on speed, efficiency and performance, manufacturing organisations are always seeking new ways of working to guarantee effective operations. However, research has found that more than half of workers wish they had better access to technology. 

Enabling manufacturing teams to work with technology offers the potential of increased data visibility and business value, among many other areas related to business processes. It’s unsurprising then that over 90% of manufacturing leaders believe that digital transformation is critical to their success. 

Audacia has a proven track record in delivering robust and scalable technology strategies and complex software platforms for leaders in the industrial manufacturing industry; from mobile CRM platforms for a global leader in wire and rope manufacturing; to a sales management platform to manage over £170m annual sales for a global mechanical seal manufacturer.

Our ability to respond to customer enquiries and requests for technical information is massively increased. Not only is it much more timely, the effort required internally is significantly reduced. We have always been good at it, but this software allows us to be absolutely excellent at it.

- Stuart Welsh, IT Director, AESSEAL plc

Insights
Fabric IQ and Ontology: Giving Data a Shared Business Meaning
Fabric IQ and Ontology: Giving Data a Shared Business Meaning
Oliver Boult - 08/07/2026
AI agents need a fixed, shared meaning for business data before they can be trusted to reason over it. This piece looks at what Fabric IQ and Ontology actually are, how they differ from a semantic model, what preparing your data for them involves, and where the platform trade-offs sit against alternatives from Databricks and Snowflake.
A Testing Strategy for Legacy Modernisation
A Testing Strategy for Legacy Modernisation
Richard Brown - 08/07/2026
Legacy systems often don't come with a specification, with their behaviour living in code nobody documented and workarounds nobody wrote down. This piece looks at why conventional testing breaks down in modernisation projects, how characterisation testing captures undocumented behaviour before it's changed, and how to measure whether your testing strategy is actually working.
From Proof of Concept to Production: What AI Projects Actually Require
From Proof of Concept to Production: What AI Projects Actually Require
Richard Brown - 06/07/2026
The gap between a proof of concept and a production system is where a significant proportion of AI initiatives fail to progress. Understanding what that transition involves, and planning for it from the outset, is one of the more important things a technology leader can do before committing investment. This blog draws on Episode 1 of Audacia's podcast Technically Speaking and covers the lessons our guests have taken from productionising AI.
Cybersecurity: The Human Problem AI Can't Fix
Cybersecurity: The Human Problem AI Can't Fix
Audacia - 05/06/2026
This blog captures the key themes from the launch event of Technically Speaking, Audacia's new podcast - held as part of Leeds Digital Mini Festival. Technology and security leaders from financial services, government and software came together to explore the 'Human Problem' in cybersecurity.