Construction

Trusted to deliver technology solutions across construction

With the construction industry facing opportunity and challenge in equal measure, an 85% increase in construction projects by 2030 offers construction businesses and incredible chance to grow. Yet, a shortage of skilled workers and low rate of productivity makes it difficult for organisations to rise to the challenge.

The solution is technology. Beyond improving productivity and profit, there are many other compelling reasons that construction companies are adopting technology; from improving collaboration between teams and stakeholders to improving customer experience.

Audacia have a wealth of experience delivering digital transformation for leading construction companies; from applications to track the progress across UK wide housing developments for a leading luxury house builder, to platforms to streamline communications across employees and sites for one of the UK's biggest residential construction companies.

We commissioned Audacia to develop a piece of software that could help us to communicate the right information to everyone at the same time, especially whilst so many of our team are working remotely. This is a real sign of our commitment to supporting our staff in a real time of need as well as continuing to lead the way in digital innovation across the sector.

- Lance Evans, Associate Director of IT, Persimmon Homes

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.