AI/ML with UV-C Dosing Data

The future of sanitation. Picture a world where UV-C technology meets dosing precision. CovspectUV boasts Ultraviolet (UV-C) dosing protocols, ensuring optimal pathogen deactivation and ROI.

What you’ll get

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    Input the pathogen you seek to deactivate and let CovspectUV give you the correct dosing protocol.

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    Deep AI/ML mold, bacteria, and virus database based on vetted peer-reviewed science.

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    10x your ROI by not over-exposing Ultraviolet light exposure in your environment.

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    Track and manage devices or systems from a remote location. Ensure that UV-C light is emitting at the desired power.

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    Send notifications if UV-C intensity levels fall outside of acceptable ranges of radiation.

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    Generate reports on historical UV-C usage, enabling data-driven decisions for optimizing disinfection strategies.

Why Recallr AI?

Pre-Predict

Product recalls will cost a food or beverage company millions in losses. These recalls can be devastating for food and beverage businesses, both financially, legally, and reputationally.

Big-Recall-Data

Recallr scrapes customer sentiment data from online reviews & social media, it merges this data with responses from your wholesalers/distributors to create a cohesive recall risk score.

ROI

Recallr's artificial intelligence-powered predictive capabilities offer a compelling business case by reducing product recall-related costs and high-impact legal liabilities.

Predict with AI

Predict with AI

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FAQs

  • Recallr is a predictive AI and machine learning SaaS platform for food and beverage processing companies designed to anticipate and forecast various biological hazardoutcomes based on historical and realt-time data and patterns presented online through online customer sentiment found via customer reviews and social media comments.

  • Recallr utilizes machine learning models to analyze current customer sentiment and socail media comment data to, identify food and beverage risk, and make predictions about future safety hazards that could lead to a product recall.

  • Prediction accuracy can vary depending on the quality of data and the complexity of the problem. Regular model evaluation and tuning are essential for maintaining accuracy.

  • While some general SaaS technical knowledge is beneficial, our interfaces and documentation are available to simplify the use of Recallr. Our team prides itself on offering a super user-friendly interface that’s easy to understand and navigate.

  • Integration methods vary, but like most AI providers Recallr offers an API and easy-to-understand documentation to facilitate seamless integration with other software.

  • Many AI companies offer trial or demo versions of their predictive AI systems, allowing users to assess their suitability before purchasing. Recallr is still under development, but when we go to market, we will be offeirng a free one week trial.