"Great business and team to work with. Straightforward & easy to do business with. The team always explain everything in a good level of detail so that relevant stakeholders understand what's happening. GC also works at a speed that is suitable for our business.”

- Tim Copping, Head of Operational Technology, Breedon Group

"Instead of just rolling out the next product update, we have completely changed how the developers and product managers work, and we've changed the management decisions around what the business will look like in the future."

- Chris Shelley, COO, ENVEA

Sustainability – Energy Optimisation and Sustainability

Most manufacturers see total energy spend but lack machine level visibility. This makes it difficult to identify peak load drivers, utility waste, or differences between shifts, lines, and sites.

By monitoring energy at asset level and linking it to production data, you can benchmark energy per unit produced and expose hidden inefficiencies. The result is lower energy cost, reduced waste, and automated, audit ready data to support sustainability and ESG reporting.

Smart Manufacturing – Computer Vision for Quality Insights

Manual inspection is inconsistent and difficult to scale. Subtle defects are often missed until late in the process or after delivery.

Automated vision provides continuous, objective inspection at key control points. You can detect defects earlier, reduce scrap and rework, and build a visual audit trail. Over time, defect trends support stronger root cause analysis and process improvement.

Smart Manufacturing – Predictive Quality

Quality issues frequently originate upstream, from material variation, environmental factors, or machine settings. Traditional QA detects problems too late, when value has already been added.

By correlating in process data with final quality outcomes, you can identify early warning indicators and act before batches fail. This reduces scrap, protects margin, and shifts quality from reactive inspection to proactive control.

Smart Manufacturing – Connected Worker

Operators often rely on paper SOPs and siloed knowledge. Training is inconsistent and issue resolution can be slow.

A connected worker approach digitises standard work and enables real time reporting and guidance. Teams gain access to up to date procedures and remote support, improving first time fix rates, reducing downtime, and accelerating onboarding.

Supply Chain Management – Demand Based Driver Planning

Fixed routes and manually adjusted schedules struggle to keep pace with changing demand or production delays. This leads to unnecessary miles, poor vehicle utilisation, and late deliveries.

By aligning transport planning with real time demand and production readiness, you can optimise loads and routes dynamically. This reduces fuel cost, improves on time delivery, and supports a more efficient and sustainable supply chain.