Premise

Human-centric Solutions

Human-centric Solutions

Despite automation, digitization, and predictive planning initiatives the reality is frontline workers make ‘minute to minute’ decisions that impact productivity, safety, and ultimately cost. We don’t see a future driven by more job loses due to automation, but more opportunities through technology.

Outcomes
0%
First Time Right Execution
0%
Reduction in Non-Productive Time
0%
Fewer Technical Escalations
0%
Accelerated Time to Execution
0%
Reduction in Safety Incidents
White Paper

IT/OT Convergence

IT/OT Convergence

Maintenance, repair, and overhaul (MRO) personnel currently spend over 30% of their day searching for information despite the pervasiveness of data from streaming sensors, enterprise data systems, and reference materials designed to help organizations make better decisions. Frontline employees are left to rely on decades old work procedures, resulting in little improvement in equipment efficiency or workplace productivity.
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Challenges

Industry 4.0 Obstacles

Industry 4.0 Obstacles

Industrial organizations are facing the combined challenges of the technical transformation of Industry 4.0 and the social/workforce transformation of a retiring work population and smaller emerging workforce. Together, these challenges create a skilled workforce gap and a simultaneous need to cross-skill, upskill, and re-skill to adapt to the technological change.
 

Shifting Demographics

Shifting Demographics

Companies across the globe struggle to hire, train, and retain appropriately skilled workers. Lost knowledge and expertise through accelerating workforce retirement, characterized as ‘grey-out’, further exacerbates an already urgent problem.
 

Digital Transformation

Existing analytics systems are unable to ingest and correlate last mile data such as equipment sensor information or handwritten notes, and many enterprise data systems remain siloed and disconnected. This results in slow, resource intensive manual processes to generate insights or analytics decisions based on data with less relevancy.

Digital Transformation

Existing analytics systems are unable to ingest and correlate last mile data such as equipment sensor information or handwritten notes, and many enterprise data systems remain siloed and disconnected. This results in slow, resource intensive manual processes to generate insights or analytics decisions based on data with less relevancy.
 
 

Skills Gap

Skills Gap

In order to maintain operational effectiveness, front-line workers need the knowledge required to execute. As it stands, existing enterprise software solutions do not effectively engage, leverage, or optimise field workers resulting in 60% of an industrial worker's day being characterized as 'non-productive time'.

Difference

Purpose built

Purpose built

Contextere develops Blue Collar AI® that empowers frontline employees with contextual information when conducting complex tasks on equipment and infrastructure. This enables each worker to conduct installation, repair, maintenance, and inspection activities reliably, effectively, and safely by providing critical information proactively, when and where they need it.

Purpose built for the blue-collar worker on the last mile
Designed for industrial domains & technical datasets
Integrates to existing hardware and software environments
Experts in deploying emergent technology into complex industrial organizations

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