Rezylix offers an AI‑driven platform for UK manufacturers that monitors machine sensor data to predict equipment failures and automatically schedules production during lower‑cost energy tariffs. By alerting operators before downtime occurs and optimizing energy use, the solution helps plants reduce unplanned outages and cut energy expenses, delivering typical first‑year savings of £50–70 K per site.
Funding
Funding not disclosed
Founders
Product
Problem
UK manufacturers often discover equipment failures only after production has stopped, leading to costly unplanned downtime. Additionally, they lack real‑time visibility into energy tariffs, causing operations to run during expensive peak periods.
Solution
Rezylix offers an AI‑driven platform that continuously ingests sensor data from manufacturing equipment to identify early warning signs of potential failures. The system alerts operators before a breakdown occurs, enabling pre‑emptive maintenance and reducing lost production time. Simultaneously, Rezylix integrates live energy tariff feeds and recommends optimal production schedule adjustments to shift workloads into lower‑cost energy windows. By combining predictive maintenance with energy‑aware scheduling, the platform helps plants lower operating expenses and improve overall efficiency.
Target Audience
Primary customers are operations and maintenance managers at mid‑size to large UK manufacturing facilities seeking to reduce unplanned downtime and energy costs.
Features
- Real‑time monitoring of machine sensor streams with AI models that detect anomaly patterns indicative of imminent failure
- Predictive alerts delivered to operators and maintenance teams via configurable dashboards and notification channels
- Live integration of regional energy tariffs to identify cost‑effective production windows
- Automated scheduling recommendations that suggest specific job rescheduling to minimize energy spend
- Quantified first‑year savings estimates of £50–70 K per site based on reduced downtime and energy cost reductions
- Cloud‑based analytics platform that aggregates equipment and energy data for continuous performance insights