7 Bayview Road, Ottawa Ont K1Y 2C5
contextere is an ‘Industrial Internet of Things’ (IIOT) software company empowering the 21st century industrial workforce. We are developing an intelligent personal agent delivering curated guidance and actionable insights to the industrial worker. Today’s employee is overwhelmed by data yet lacks the relevant information to execute, as a result spending over 60% of their time on non-productive activities. Using human-centric machine learning and intelligent context generation contextere answers the simple question – Now What? A mobile personal agent delivering automated actionable insights at the point of service will make every worker skilled, reduce human error and save lives.
contextere is addressing the challenge of ’The Last Tactical Mile’ – global industries with remote or mobile assets are losing money through workforce-related inefficiency where warm hands touch cold steel. Existing enterprise software and equipment automation solutions do not effectively engage, leverage or address the field workforce component. We are targeting the business need to increase productivity, reduce human error and increase the safety rate of field-based maintenance workers or operators. Currently, as much as 60% of a field based maintenance worker’s time is unproductive – time spent searching, waiting, or revisiting a site location. At the same time, even when the right information is available, the task is performed incorrectly 25% of the time. The result is lost human and equipment productivity, the potential for catastrophic failure and risks to employee safety.
The contextere Platform is an enterprise software environment that integrates a mobile/wearable notification and data collection capability with an enterprise/cloud-based context curation engine. There are two elements to a customer solution – (1) on-premises/cloud back-end data integration with a machine-learning based curation platform, and (2) mobile end-user work guidance and data collection that functions on phones, tablets, and wrist or head-worn wearables. Information is automatically extracted from the mobile platform to understand the user’s context. Using this context, the enterprise curation engine determines the appropriate information to deliver to the user to tell them what to do next.