Founded by CEO and Co-Founder Mohammad Noshad, Shyld AI
Key Takeaways:
In early 2025, Shyld AI closed a $13.4 million seed round, one of the largest early-stage rounds in the healthcare AI sector that year. The round, led by Aulis Capital, is funding the rapid expansion of the company’s autonomous AI devices across U.S. hospital rooms. For founder and CEO Mohammad Noshad, the milestone caps years of work that began with personal loss.
After a close friend died from a hospital-acquired infection following routine surgery, Noshad and his brother Morteza built Shyld AI in 2022 to take real-time action on patient safety inside the rooms where care happens. Healthcare-associated infections still contribute to roughly 72,000 deaths each year in the U.S., according to the most recent CDC data, and Shyld AI is working to lower that number inside every facility it reaches.
Inside the device that acts on its own
Most healthcare AI today sits at a distance from the work itself, generating dashboards and reports that clinical staff have to act on later. Shyld AI starts from a different premise and builds technology that directly takes action inside the hospital room. The company designs wall-mounted devices that install inside hospital rooms and operate continuously.
Each unit pairs onboard sensors with targeted UV-C disinfection in a single compact form factor. The sensors map the room in real time and detect events that can trigger cross-contamination, such as a nurse touching a keyboard or a high-touch surface left exposed between patients. When the AI identifies a risk event, the device delivers a precise dose of UV-C light to inactivate pathogens within seconds.
Powering this is VERTEX, Shyld AI’s proprietary foundation model designed for real-time decision-making in physical environments. Built in partnership with NVIDIA, VERTEX runs directly on Shyld AI devices using onboard GPU processing rather than calling out to hospital cloud infrastructure.
That edge-native architecture keeps the system operating during network outages and processes environmental data locally without transmitting any video or personal information offsite. The system is HIPAA-compliant by construction and built as a closed loop, which has dramatically accelerated approval cycles with hospital IT and compliance teams. For hospital IT teams, deploying a Shyld AI device is closer to installing a smoke detector than wiring in major hospital software.
The proof and the people behind it
The clinical case for Shyld AI’s approach has been formally tested. A peer-reviewed Stanford University study, published in the American Journal of Infection Control, found that the company’s technology reduced cumulative microbial bioburden by more than 93 percent compared with a control room running standard manual disinfection protocols. The study tracked surface contamination across multiple weeks inside one of the most demanding environments at a major academic medical center.
That validation has translated into commercial momentum across the country in the years since. Shyld AI is currently deployed in over 30 hospitals. Average sales cycles run eight to ten weeks, significantly faster than the twelve to eighteen months that hospital technology procurement typically demands.
“We’re moving the industry from passive AI to Active AI, technology that understands how hospitals operate and improves workflows in real time without adding burden to clinical teams,” said Mohammad Noshad, founder and CEO of Shyld AI.
Mohammad and his co-founder, his brother Morteza Noshad, bring complementary depth to the company. Mohammad completed his PhD in two and a half years and spent years researching AI at Harvard. He had also built and exited two previous companies before founding Shyld AI. Morteza holds a PhD in computer science from Stanford and built the technical architecture behind VERTEX.
What comes after the hospital room
Infection control is the entry point for Shyld AI’s technology, but the company’s broader vision is to bring action-based AI into every physical environment where contamination and operational lag carry real cost. Inside the operating room, Shyld AI’s agents already track surgical readiness, identify missing instruments before procedures begin, monitor workflow phases, and flag preventable delays. In an environment where every minute of operating room time runs into the hundreds of dollars, even small delays compound into high costs.
Beyond the hospital, Shyld AI is starting to work with pharmaceutical companies, applying its technology to cleanroom contamination control and compliance documentation in sterile manufacturing environments. The capital from the seed round is funding deployment growth across U.S. health systems and the technical work needed to extend VERTEX into these new physical settings.
For Mohammad Noshad, the bigger picture sits at the company level. Shyld AI is building a category that did not exist before: action-based AI for physical infrastructure. It started with one personal loss and now operates inside dozens of hospitals across the United States, working to prevent the same outcome for thousands of other patients.
To learn more about Shyld AI’s technology or schedule a demo, visit shyld.ai or connect with Mohammad Noshad on LinkedIn.
About Shyld AI
Shyld AI is a healthcare technology company bringing physical agentic AI to hospital operations. Founded by CEO and Co-Founder Mohammad Noshad, Shyld AI develops autonomous physical agents that streamline hospital operations like infection control, OR efficiency, and compliance, without adding workload for staff. Its technology combines AI with UV disinfection to reduce environmental contamination by up to 93%. Shyld AI is deployed across hospitals nationwide, improving clinical care, efficiency, and cost savings. To learn more, visit www.shyld.ai/