Advanced Predictive Maintenance that keeps production moving

Modern manufacturers rely on complex, expensive machinery that needs to be run at ever-higher usage rates to drive greater efficiencies.

Unexpected down-time or reliability issues impact production schedules, profits, and customer satisfaction.

The cost of a lost hour in the automotive sector is $2-3 million – or more than $600 a second.
Fast and accurate detection and prediction is critical to rapidly and proactively respond to issues and minimise impact.

An end-to-end and event driven solution, to address monitoring and prediction at machine and site level (Operational Technology - OT), and strategic decisioning at the centre (Information Technology - IT), with innovative technologies including:

BondzAI: Adaptive AI that monitors machine vibrations to detect anomalies and predict failure events in real-time; it learns directly from operators in the field versus time-consuming cloud re-training and deployments.

Volt Active DB: A real-time decisioning and database technology enabling fast ingestion and correlation of multiple events across an edge site (e.g. factory). Through its Java engine, AI and logic are deployed right next to the data enabling milliseconds response.

Akamai Connected Cloud: Site-level events are forwarded and distributed to enable fast access regionally and centrally.

• IT-OT convergence to monitor, manage and optimise manufacturing efficiency, end-to-end.

• Adaptive intelligence to enable fine-tuning of models in real time.

• A Gen AI 'copilot' for the machine operator, enabling them to be more efficient in evermore complex and time-critical situations.