Photo - Protlab GPL LTD
58817

Protlab GPL LTD

United Kingdom
Market: Medicine, Artificial Intelligence
Stage of the project: Operating business

Date of last change: 21.10.2022
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Idea

Protlab GPL LTD Is an early stage bio/medtech company, focused on the concept of biomimetic properties to
understand and use integrated quantum photonics
of solving problems in Healthcare

Current Status

Sensor arrays are being developed - next step is to integrate quantum photonics technology;
The PHIL concept is ready (Professional Health Information Library) is a knowledge-based search engine that will match new web postings every week to the specialties and interests of doctors initially, but expanded to multi-disciplinary researchers, public health etc.

Problem or Opportunity

Public awareness of the hidden dangers of air-borne transmission of diseases as well as the transference of viral microorganisms & superbugs to surfaces has been acutely highlighted in the Covid-19 pandemic. The acute risks of viral infections with a blanket PR exercise to ensure awareness of the dangers and nature of the transmission vectors has led to a very evident gap in the marketplace and Protlab GPL LTD will provide a solution to unseen air-borne and static contaminants in hospitals/offices/ homes.

Solution (product or service)

Protlab GPL Ltd intends to develop the most advanced, safest and effective air & surface cleansing technology
utilizing integrated quantum photonics with cold atmospheric plasma through the CAPRISE project which stands
for : The Clean Air Pathogen Removal Intelligent Sensor Equipment Project

Business model

Our integrated project is a blend of services and products. Initially, multi-disciplinary work will activate sensors distributed to front-line professionals with mathematical algorithms to enable immediate identification of risk factors in potential disease outbreak areas for prompt action. This service will be expanded as revenue allows with coordination centres being set up to serve the local areas and protecting communities.
The data gathered from this service will populate AI to incorporate social and environmental factors identified by the front-line professionals in the network.
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