Intelligent, autonomous, and mobile

Hospitals, nursing homes, fitness centers, cafes, schools, and more - or ai powered disinfection robots are equally at home in a variety of settings
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Easy to Use

With a simple, intuitive interface you can learn to use our robot in 15 minutes. And Purple’s self-navigation means no room pre-mapping or manual training required, just push a button and start disinfecting.

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Mobility

Light travels in a straight line. Areas in shadow are not disinfected by a stationary UVC light source.

Our mobile robot ensures complete coverage, moving around furniture and objects to eliminate germs and viruses hiding in shadowy spots of the room.

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Verifiable Disinfection Reports

Downloadable coverage reports with detailed information on when a room was disinfected, the total disinfection time, and a map of the coverage area.

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Smart Disinfection

Haystack Robotics’ patented smart disinfection with object recognition means Purple spends more time on the high touch areas of a room. Powerful AI algorithms identify high touch surfaces such as doorknobs and light switches, increasing the disinfection time as the robot passes those areas to insure a thorough cleaning.

Follow Me Mode

With its ability to identify and track a person, Purple conveniently follows its operator from room to room. Person recognition is also part of an important safety feature, allowing the robot to shut down operation when a person enters the room during a disinfection cycle

Control and Monitor
Remotely via App

Safety First,
for Staff and Customers

Safety is at the core of our design philosophy. Our robots are built with multiple safety features to protect both users and the environment. We adhere to stringent regulatory standards to ensure our products are safe, reliable, and effective.

  • Pre-clean a room before staff enters
  • If a person is detected, robot enters safe mode
  • No harsh chemicals or residues

Outperforming the competition in both cost and capabilities

Haystack Robotics Logo The Competition
True Autonomous Mobile Robot Requires pre-mapping and manual training
Works Out-of-the-Box Requires on-site engineer
Learn to use in 15 minutes Requires complicated manual setup
AI safety capabilities N/A
Moves while disinfecting Most are stationary
Over-the-Air software updates Most do not have OTA updates
Affordably priced Up to 3x more expensive

ROI

A single Haystack robot can save 3,640 hours of labor per year on average

Increase employee satisfaction and job retention by providing relief from dull, dirty, often dangerous tasks. Create a safer environment for staff and customers and free your staff to perform other tasks while our UV-C robot does the disinfection.

50% faster and 65% less expensive than manual cleaning.

Manual disinfection requires your staff to come into contact with possibly infectious areas, requires extra preparation time, safety equipment, and often the use of harmful chemicals.

Hospital Associated Infections (HAIs) cost hospitals in the U.S. $28B annually.1

On average, HAIs are responsible for an average of 349 infections per individual hospital per year - resulting in an average of 23 deaths per hospital every year. And according to a recent study, 50-70% of these HAIs are avoidable.2 That's why at Haystack we believe safe indoor spaces are not a luxury, but a necessity. It should be simple to make indoor spaces smart and safe.

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“No other curent technology has the capability, the adaptabilty, and the favorable economics to make it viable for an extremely wide variety of disease control applications.”3

Explore the Science

1. Stone PW. Economic burden of healthcare-associated infections: an American perspective. Expert Rev Pharmacoecon Outcomes Res. 2009 Oct;9(5):417-22. doi: 10.1586/erp.09.53. PMID: 19817525; PMCID: PMC2827870.
2. Bearman, G., Doll, M., Cooper, K. et al. Hospital Infection Prevention: How Much Can We Prevent and How Hard Should We Try?. Curr Infect Dis Rep 21, 2 (2019). https://doi.org/10.1007/s11908-019-0660-2
3. Kowalski W, Ultraviolet Germicidal Irradiation Handbook, Springer, 2009, 13