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Shyld AI

Shyld AI develops autonomous AI agents equipped with multimodal sensors for continuous ambient monitoring in healthcare facilities. These agents automate infection control through targeted UV-C disinfection, utilizing advanced AI technology and mercury-free UV LEDs. The platform delivers enhanced clinical care, improved workflow efficiency, and measurable cost savings for smart healthcare operations.

San Francisco, United StatesFounded 20221510K+ followers
Updated 4 months ago

Funding

$0 raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

PAPA

Founders

Product

Problem

Healthcare facilities face persistent challenges in maintaining effective disinfection protocols, leading to hospital-acquired infections (HAIs) and increased operational costs. Traditional disinfection methods are often inconsistent, labor-intensive, and may not adequately target high-risk contaminated surfaces. This can result in pathogen transmission, prolonged patient stays, and financial strain on healthcare systems.

Solution

Shyld offers an autonomous UV-C disinfection solution powered by Edge AI and multimodal sensors to automatically identify and target contaminated surfaces in healthcare environments. The system uses a combination of radar, microphones, 3D lidar scanners, and cameras to map the environment and detect potential sources of pathogens. Once identified, the system directs UV-C LED emitters to rapidly inactivate pathogens in as little as 20 seconds. This technology provides continuous ambient monitoring, enhances clinical care, increases workflow efficiency, and reduces infection rates.

Target Audience

The primary target audience includes hospitals, clinics, and other healthcare facilities seeking to improve disinfection efficacy, reduce HAIs, and optimize operational efficiency.

Features

  • Autonomous navigation and disinfection using multimodal sensor fusion and Edge AI processing
  • Real-time identification of contaminated surfaces via 3D mapping and object recognition
  • Targeted UV-C LED disinfection with adjustable beam steering for optimal pathogen inactivation
  • Rapid disinfection cycle times, achieving pathogen inactivation in as little as 20 seconds at a distance of 6.5 feet
  • Continuous ambient monitoring for proactive infection control
  • Integration with existing hospital workflows and facility layouts
  • Mercury-free UV LED technology for enhanced safety and sustainability
This profile is AI-generated and may contain inaccuracies.