Shyld AI Raises $13.4M Seed for Physical AI Agents

Shyld AI raised $13.4M seed led by Aulis Capital for autonomous edge AI agents in hospitals. Stanford-validated 93% bioburden reduction.

Emel Kavaloglu

Shyld AI, a Sunnyvale, CA-based provider of autonomous edge-native physical AI agents, has raised $13.4M in seed funding led by Aulis Capital. The company delivers real-time multimodal sensing, UV-C disinfection, workflow automation, and operational insights to improve safety and compliance in healthcare facilities. The capital will accelerate U.S. health system deployments and expand Active AI to clinical and industrial applications.

Physical AI Addresses Hospital Gaps

The timing aligns with accelerating AI adoption in hospitals. Over half of nonfederal acute care hospitals are implementing generative AI tools by end of 2025, up sharply from prior years. Shyld's edge-native approach combines sensing with autonomous action, addressing gaps that software-only or mobile robot solutions leave open.

Infection Control Demands Real-Time Action

Hospital-acquired infections and inconsistent surface disinfection create persistent operational and clinical costs. Traditional UV systems require manual operation or mobile units that disrupt workflows. Shyld's stationary edge AI runs continuous, targeted cycles without staff intervention, backed by a Stanford University study showing over 93% lower cumulative microbial bioburden.

Edge Agents Combine Sensing and Action

Shyld built a unified platform around its VERTEX foundation model that runs on-device. The system monitors occupancy, detects workflow phases in operating rooms, and triggers precise UV-C disinfection while generating audit-ready logs. This differs from competitors such as Xenex and R-Zero, which focus primarily on hardware disinfection without integrated real-time workflow intelligence.

"Hospitals are not slow at adopting technology. They are slow at adopting technologies that create disruption without delivering immediate value."

Healthcare Specialists Lead the Round

Aulis Capital led the round with participation from Asset Management Ventures, Plug and Play, and others. The syndicate reflects strong domain validation for physical AI in regulated clinical settings. Aulis brings healthcare investment experience and a focus on transformative technologies that match Shyld's agentic automation thesis.

AI Healthcare Market Expands Rapidly

The global AI in healthcare market stood at $36.67 billion in 2025 and is projected to reach $505.59 billion by 2033 at a 38.9% CAGR. Structural drivers include labor shortages, rising focus on infection control, and demand for operational efficiency. Shyld positions itself in the physical AI niche, distinct from broader workflow software players and pure-play disinfection vendors.

Stanford Validation Strengthens Momentum

Founders Mohammad and Morteza Noshad, brothers with deep technical expertise, have secured peer-reviewed evidence from Stanford Medicine collaborators. Published results in the American Journal of Infection Control confirm consistent performance in real clinical environments, supporting rapid deployment claims measured in weeks rather than months.

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