Your members work hard.
Their healthcare should work harder.
AI care across conditions, built for union members, with expert support from anywhere.
Trusted by 100+ union funds serving 900K+ members.

Union work takes a physical toll
Physically demanding jobs increase the risk of pain and injury. But for many members, getting care means missed work, long waits, and more delays.
When treatment is hard to access, pain lasts longer and costs rise faster.

126M Americans live with MSK pain
A major burden across physically demanding workforces1

$980B in annual MSK costs
The largest driver of healthcare spending in the U.S.2
the program
Care members can actually use
Physically demanding jobs create higher risk for pain and injury, but traditional care often makes treatment harder to access. Sword helps members get expert care sooner, from anywhere, while helping funds reduce avoidable costs.
Care from anywhere
Expert care from home, without clinic visits or missed work.
Clinician-led care
Licensed physical therapists and doctors guide every care plan.
One platform , broader coverage
MSK care, mental health, women’s health, and injury prevention in one place.
Outcomes-based pricing
Payment is tied to measurable clinical outcomes.
Trusted by the labor movement’s leading health coalitions
Union health funds across the country partner with Sword to deliver better outcomes for members while protecting the long-term sustainability of their funds.

Independently validated financial results
Union fund leaders carry a fiduciary responsibility to their members. Sword delivers results validated by independent research.

$3,177 saved per member per year
Lower healthcare costs and improved workforce productivity.4

3.2:1 ROI
the highest independently validated return in the industry.

50% fewer surgeries
Preventing the highest-cost claims for union health funds3
platform
The AI Care model built around people
Human clinicians and AI work together to deliver continuous, personalized care that adapts as needs change, across conditions, moments, and stages of life.
The most rigorous compliance standards in digital health
The only digital health provider with HITRUST certification, SOC 2, HIPAA compliance, and FDA-listed medical devices.
Ready to bring Sword to your fund?
Our dedicated Labor Team understands Taft-Hartley fund governance and what it takes to build a case for your Board. Let's talk.
Claims and clinical outcomes referenced in this website are relative to the digital health and wellness services provided and not to the medical devices that may support such services.
Footnotes
United States Bone and Joint Initiative: The Burden of Musculoskeletal Diseases in the United States (BMUS), Fourth Edition, 2020. Rosemont, IL. Available at http://www.boneandjointburden.org.
Dieleman JL, Beauchamp M, Crosby SW, et al. Tracking US Health Care Spending by Health Condition and County. JAMA. 2025;333(12):1051–61.
Study Results on Medical Cost Savings Conducted by Risk Strategies Consulting, June 2024
NWLC calculations using U.S. Department of Labor, Bureau of Labor Statistics, “Table 1. Union affiliation of employed wage and salary workers by selected characteristics,” (Washington, DC: Jan. 23, 2024)
Surgery Reduction: These figures are based on comparative studies between Sword participants and a control group receiving traditional care.
ROI Explanation: The return on investment (ROI) is calculated as the untruncated gross medical savings ($3,012) divided by program fees ($989) as reported in the study. This calculation is based on the study's specific data.
Sword BoB 2023, of members who enroll in our programs with moderate to severe pain and by the end of the program have only mild or no pain
Musculoskelet Sci Pract. 2023 Feb;63:102709. doi: 10.1016/j.msksp.2022.102709
Americans in Motion: The Total Cost of Managing Musculoskeletal Conditions. Evernorth Health Services, 2022.
Study, Trends in long-term opioid prescribing in primary care patients with musculoskeletal conditions. The Journal of the Association of the International Study of Pain, 2016. LWW


