A Key to Data-Driven Hiring
A cloud-based solution that showcases employees’ on the job activities and ergonomic hazards allowing to have comprehensive risk & physical duties overview and hire only the most appropriate candidates for high-demanding roles.
Build a comprehensive job dictionary and evaluate job-fitting of current and potential employees on suitability for existing tasks & duties through data-proven methods
Understand ergonomic risks within tasks & tools for each position to develop the most effective training programs & ensure maximum ergonomic safety from day 1
Create all-round job requirements to provide therapists with detailed info on physical & cognitive demands to ensure effective return-to-work programs for injured workers
Collect & analyze data related to employees on the job activities and ergonomic hazards to have the most comprehensive risk & physical duties overview. Augmented with a Job Summary dictionary, the data can help to simplify the hiring or transfering to another position and ensure the best outcome both for employer & employee.
Injury Risk Analysis
Get access to spine & shoulder high-risk movements & intensity data to develop safety solutions and fit-for-duty strategies to prevent injuries among the workforce. For the best outcome, data is collected & represented in 4 various positions: neutral, static, repetitive and twisting.
Physical Demand Analysis
Understand how much strength is needed for specific jobs and what the required physical load is for the role to hire the most appropriate candidates.
How It Works
A combination of wearable ergonomic sensors with a cloud-based video capturing solution powered by AI-driven data analysis, to accurately measure at risk movements.
Get a free demo!
Discover Soter Solutions in a free personalized demo and learn how you can:
Get up to 55% of reduction in back & shoulder injuries
REDUCE LOST WORKDAYS
Achieve up to 30% of reduction in lost workdays
Ensure smooth operations and reduce employee turnover
Minimize cost exposure while the benefits are demonstrated