deliverz.ai Targets U.S. Hospitals With Hybrid Logistics Automation

The platform moves beyond traditional point solutions by functioning as a robot-agnostic "backbone" for hospital facilities. Rather than forcing institutions to rely on a single vendor, the software integrates with various robotic hardware, allowing administrators to deploy the most appropriate machines for specific tasks—ranging from medication delivery to specimen transport. By automating the movement of goods across departments, the system aims to reclaim significant time for clinical staff, who often spend large portions of their shifts performing logistics duties.

Evidence from the platform's deployment at Sheba Medical Center, currently ranked among the world’s top ten hospital systems, suggests substantial operational gains. At the facility, deliverz.ai reduced chemotherapy delivery times from 40 minutes to 14. According to Prof. Eyal Zimlichman, the hospital's Chief Transformation Officer, the software serves as a practical model for digital healthcare transformation, directly impacting patient care by reducing waiting times and streamlining internal workflows. The company reports that its hybrid model can drive up to 4X more throughput and 7.5X greater cost efficiency compared to conventional staffing methods, positioning the technology as a scalable alternative to hiring more manual transporters.