Blue Mountain, a leader in Enterprise Asset Management (EAM) for the life sciences sector, has partnered with Apprentice.io, creators of the AI-powered Tempo Manufacturing Cloud, to deliver a pioneering integration for life sciences manufacturers. This collaboration, which merges asset performance management with manufacturing cloud technologies, aims to revolutionise equipment calibration and readiness in the industry.
The partnership between the two companies is seen as a breakthrough in production efficiency for manufacturers reliant on batch-based processes. By linking Blue Mountain’s RAM system and Apprentice.io’s Tempo platform, production teams are provided with real-time insights into equipment status, including calibration data and operational readiness.
David Rode, CEO of Blue Mountain, hailed the collaboration as a significant advancement in the field. “This partnership represents the art of the possible in life sciences manufacturing,” said Mr Rode. “With real-time status updates, production teams can act with confidence, knowing that equipment is fully calibrated and ready for use.”
Seamless Integration for Enhanced Visibility
The new technology eliminates the need for time-consuming coordination meetings and spreadsheets, often used to manage equipment readiness. By allowing Blue Mountain’s RAM to communicate directly with Apprentice.io’s Tempo platform via MQTT messaging protocol, the integration provides instantaneous updates on the status of any given asset. This ensures that production teams are always aware of whether equipment has been calibrated, inspected, and is ready for operation.
One of the major features of this collaboration is the introduction of a “Calibration Data” tab within the Tempo platform. This new feature provides planners and schedulers with immediate access to an asset’s calibration status, streamlining production processes and reducing downtime.
The real-time nature of the integration means manufacturers can now ensure a smoother, more efficient workflow. Teams will no longer need to rely on manual updates or physical inspections to confirm that equipment is ready to use, which has traditionally been a major bottleneck in production processes.
Future of Predictive Maintenance
The integration between these two platforms not only optimises current manufacturing workflows but is also seen as a critical step towards the future of predictive maintenance in the life sciences sector. By openly exchanging data between the two systems, manufacturers will soon be able to predict when equipment requires maintenance, potentially avoiding costly delays in production.
Angelo Stracquatanio, CEO and Co-founder of Apprentice.io, expressed excitement about the future potential of the collaboration. “We are thrilled to bring this level of visibility and efficiency to our customers. By exchanging data seamlessly between our systems, we’re not just optimising workflows but laying the groundwork for predictive maintenance. This is just the beginning.”
Impact on the Life Sciences Sector
The integration is expected to have a profound impact on life sciences manufacturing, an industry that heavily depends on the precision and readiness of its equipment. By ensuring that machinery is properly calibrated and operational at all times, the partnership promises to drive greater efficiencies, reduce downtime, and boost overall production output.
With this first-of-its-kind collaboration, Blue Mountain and Apprentice.io are setting the stage for fully automated asset performance management, heralding a new era of innovation in life sciences manufacturing.
