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Resilient Manufacturing. Orchestrated.

What’s slowing down your factory floor?

Operational Complexity

Operational Complexity

Operational Complexity

Complex shifts and handoffs create  bottlenecks and delays that drive up costs and waste. 

Low Automation

Operational Complexity

Operational Complexity

 The UK has just 2.5 robots per 1,000 workers, with SMEs citing cost and integration as major barriers. 

Labour Shortages

Operational Complexity

Quality and Compliance Burden

 65% of UK manufacturers face persistent skills gaps, with high turnover and training needs for manual inspections. 

Quality and Compliance Burden

Quality and Compliance Burden

Quality and Compliance Burden

 Strict audits and rework drive recurring costs, with up to 20% of output lost to quality issues. 

Rising Costs and Downtime

Quality and Compliance Burden

Rising Costs and Downtime

 Input price pressures are squeezing margins, while downtime costs UK manufacturing an estimated £80B annually. 

How rezylix transforms production

Unified Production Control

Unified Production Control

Unified Production Control

 We unify your robots and systems on one screen, so you cut delays, avoid downtime, and keep production flowing. 

Factory Digital Twin

Unified Production Control

Unified Production Control

 We give you a live digital twin, so you test workflows, spot bottlenecks, and cut waste. 

Predictive Maintenance

Unified Production Control

Predictive Maintenance

 We monitor your machines in real time, helping you prevent breakdowns, cut downtime, and extend asset life. 

AI Copilot

Unified Production Control

Predictive Maintenance

 We give you an AI copilot that explains delays and recommends fixes to keep production on track. 

SUSTAINABILITY

Manufacturing accounts for nearly 20% of global GHG emissions, much of it from idle lines, scrap, and energy-intensive rework. 

Rezylix helps factories do more with less

Optimise lines and energy use

Coordinate machines, AGVs, and sensors in one platform, reducing downtime and idle energy. Predictive control can cut line energy waste by up to 20%. 

Prevent breakdowns early

AI detects anomalies before failures occur, lowering unplanned downtime and avoiding the CO₂ and cost impact of idle production lines. 

Reduce scrap and rework

 Digital twins simulate workflows and schedules in advance, reducing material scrap and errors, helping factories lower waste rates by up to 30%. 

Scale smarter, with less waste

Simulation-first rollouts and vendor-neutral integrations let plants add new robots or sites quickly, while avoiding costly re-engineering and excess emissions. 

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