The Science of Ergonomic
Injury Prevention

Soter devices are designed with the latest technology and combine unprecedented up-to-date effective training practises drawn from ergonomics, sports science & physiological science

SoterCoach Was Built Off Existing Standards


Our devices leverage the vast amounts of research that have quantified ergonomic injury risk. These include: International Standards 11228-1 to 11228-6 & 12295; OSHA’s ergonomics program; Observational methods standards such as RULA, REBA, NIOSH, RAPP tool; Standard 29 CFR 1910.900; Safe Work Australia’s Hazardous Manual Tasks Code of Practice. And more than a dozen peer-reviewed research projects, including epidemiological data of exposure/injury relationship.

SoterCoach utilizes an inertial motion sensor & world-leading data algorithms identify when a worker puts stress on their back or shoulder, quantifying movements to analyse if they are at high-risk and may lead to injury.


SoterCoach Measures More Movements Than Any Other Product Developed

In total
  1. Lifting movements with poor technique & overreaching (sagittal flexion)
  2. Back twisting (rotation of the trunk)
  3. High & sudden impact forces
  4. Arm elevation (with or without load)
  5. Hazardous pushing & pulling of the shoulder
  6. Sustained awkward static postures (including sagittal flexion, rotation of the trunk)
  7. Sustained arm elevation
  8. Shoulder overexertion
  9. Repetitive back movements
  10. Repetitive shoulder movements

And Now The System Is Starting To Overtake Traditional Standards, Powered By AI

Traditional standards specify what 'typical' humans can withstand. In the case of ergonomic and manual handling risk, these usually estimate how many higher-risk movements a person should make within a time period and how much weight or force a person should be able to safely withstand.

At Soter Analytics we've built a system that self-learns and gives personalised feedback to each individual worker, helping them avoid the movements that might increase their own risk of injury.

  1. Measures the individual strength of each worker with our highly-innovative intensity model which identifies how difficult each movement is.
  2. Identifies when an individual or group of movements are increasing the fatigue of a worker or if they begin overcompensating with different working techniques to avoid particular pain or lactic acid buildup.
  3. System continually self-learns to calculate how the worker's risk is adjusting and provides increasingly personalised feedback.

Our Partners
Success Stories


Travis Perkins (UK)

Soter Analytics helps UK’s largest building merchant to reduce manual handling injuries by 55%


Giant Eagle Supermarkets (US)

Wearable devices help the 34,000-employee retailer reduce risk of injury by 31%


Wincanton (UK)

Wincanton uses Soter AI-ergonomic sensors resulting in 250 days of no lost-time injuries



United Farmers of Alberta reduced ergonomic injuries by 86% with behavior changing wearables

Start Preventing Injuries with SoterCoach

The wearable device, personal mobile app & tutorials for workers to self-correct their movements in real-time. All data is accessible via the analytics dashboard.

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