ErgonometriX decreases the likelihood of lower back injury in the workforce. A proprietary sensor collects and relays, to the cloud, data from individual worker's lifting maneuvers. Proprietary cloud analytics, including machine learning algorithms, classify, deconstruct and categorize this data into correct and incorrect lower back movements to provide regular actionable feedback for each worker. Feedback informs employers and employees about the kinematics and frequency of at-risk lifting maneuvers.

ErgonometriX can then provide tailored, on-site retraining and work hardening programs. Feedback to customers keeps us in the loop, promoting new products and services, creating customer loyalty, retaining and growing our customer base and developing secondary and tertiary vertical markets.

Our proprietary learning algorithms, cumulative data and data-mining present a significant barrier to entry. In addition, our proprietary databases will enable us to develop a host of services and...
ErgonometriX decreases the likelihood of lower back injury in the workforce. A proprietary sensor collects and relays, to the cloud, data from individual worker's lifting maneuvers. Proprietary cloud analytics, including machine learning algorithms, classify, deconstruct and categorize this data into correct and incorrect lower back movements to provide regular actionable feedback for each worker. Feedback informs employers and employees about the kinematics and frequency of at-risk lifting maneuvers.

ErgonometriX can then provide tailored, on-site retraining and work hardening programs. Feedback to customers keeps us in the loop, promoting new products and services, creating customer loyalty, retaining and growing our customer base and developing secondary and tertiary vertical markets.

Our proprietary learning algorithms, cumulative data and data-mining present a significant barrier to entry. In addition, our proprietary databases will enable us to develop a host of services and applications for different industries and a variety of customers.

We are currently engaged in pilot studies with Montgomery County, MD and with the University of Maryland, College Park, MD.
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Advisors

Recommendations

Daniel Lathrop

I am familiar with Back-Lift and the ErgonometriX team from advising their business strategies. This enthusiastic and focused team of electronics and medical experts has great potential. No doubt they will develop a product of great value to the customer, in savings and in quality of health improvements. This project has the chance to help a lot of people.

sonny bloom Mentor at ErgonometriX

I have met with the co-founders and become familiar with their product and services, as well as their future business model. My assessment of the potential for the firm is such that I have agreed to serve as a mentor to Ergonometrix, helping them to bring their business plan to fruition. Tremendous potential, given the market/industry opportunities and the economic model for their product and services.