Pharmaceutical companies face increasing challenges in production flexibility, time-to-market and operational costs. In order to remain competitive, manufacturers must adopt digital technologies - analytics, automation and process digitization - to capture significant, scalable efficiency gains.
Falkonry enables Pharmaceutical companies to improve their output and quality through AI-powered smart visibility and actionable insights. It can be used directly by your process, equipment and maintenance teams to increase asset availability, product quality and yield.
Reduced unplanned downtime
Improved plant-wide reliability
Enhanced production efficiency
Consistency in product quality
Our experience from working with dozens of customers across hundreds of use cases is that an “intelligence-first” approach works best. That is: working with data as it is generated to discover and then monitor problems that are affecting today’s production. By working in-the-now, SMEs’ interests are aligned with the interests of the project so that findings are quickly validated and applied. Intelligence-first overcomes the barriers that a data-first approach cannot breach.
Autoclaves sometimes require early maintenance. Current methods do not provide enough warning.
Use existing operational data to discover patterns which precede autoclave failure indicating need for maintenance
Avoid overtime and the cost of repeated cycles. Control capital costs associated with over provisioning capacity.
Rubber vulcanization process is difficult to control using available methods
Turnkey solution discovers novel patterns in and analyzes root causes from operational data which precede process excursions
Make process adjustments to avoid quality loss from plugging events
Chillers can fail unexpectedly. Current practices do not provide enough warning
Discover, record and maintain patterns in operational data which indicate impairment or impending failure of the chiller system
Avoid unscheduled downtime through proactive chiller repair. Provision backup chiller capacity to minimize impact to production.
Learn how a pharmaceutical company used Falkonry’s Time Series AI to identify abnormal processing patterns and avoid costly losses from misprocessing.
