The organization achieved transformative outcomes, improving operational efficiency while setting the stage for future-ready AI and cloud consumption.
Automated extraction turned unstructured data into actionable AI insights, cutting research time from 5–10 hours per area to just 1–2, saving hundreds of hours in some cases. Teams could now process vast amounts of information with unprecedented precision, improving the speed and accuracy of decision-making. The new private cloud environment also provided dynamic hybrid cloud scalability, ensuring EHF’s IT infrastructure could accommodate future growth and increased data demands.
With modern AI capabilities now in place, EHF can support advanced research use cases without major reconfiguration, positioning itself to innovate faster and maximize long-term value.
Advisory Services
AI Services
Security Services
NexusTek Private Cloud
Cloud Migration
Infrastructure Design
Training
A small, Texas-based nonprofit focused on health equity and systemic change.