Staunch Technology

Staunch Technology is a specialist occupational health and ergonomics software provider focused on physical demands analysis and worker-job matching. It aims to reduce the cost, disruption and operational impact of workplace injuries by enabling organizations to make better decisions about job task design, safe job placement, and return-to-work pathways. Its JobFit System platform is best suited to organizations managing physically demanding work, complex worker’s compensation exposure, aging workforce risk, high musculoskeletal injury costs, or multi-site operations. These organizations require objective, job-specific data to inform occupational health, ergonomics and return-to-work decisions, and to ensure consistency and agility across teams, sites and stakeholders. JobFit System enables organizations to: • Quantify physical job demands • Compare job requirements to individual worker capability • Identify mismatches that increase injury risk • Prioritise controls, work modifications and interventions Staunch is differentiated in physical demands intelligence and longitudinal worker capability tracking. Job and task data can be reused across pre-employment/post-offer, injury prevention, return-to-work, and workforce health programs, while worker capability can be tracked over time to support recovery progression, role matching and aging workforce strategies. The platform is sensor- and ergonomic assessment tool-agnostic, enabling organizations to incorporate data from observation, structured task analysis, wearable devices, video assessment or motion sensors. Staunch extends the value of these inputs by connecting task-level exposure data to whole-person work ability intelligence, particularly functional capacity. For occupational health and return-to-work teams, Staunch provides structured, job-specific data to inform fitness-for-duty, pre-employment/post-offer assessments, health surveillance and return-to-work planning. Users can compare individual health results against job demands, track changes over time, and deliver more precise, defensible recommendations.