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InspectIR Systems

The startup specializes in non-invasive diagnostics that utilize breath analysis to detect volatile organic compounds (VOCs) associated with viruses, cancers, and drug abuse. This technology enables immediate screening and detection at the point of care, enhancing the efficiency of medical assessments in hospitals.

Frisco, United StatesFounded 20186200+ followers
Updated 3 months ago

Funding

$15.7M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Current methods for detecting viruses, cancers, and drug abuse often rely on laboratory analysis, leading to delays in diagnosis and treatment. Traditional testing methods can be invasive, require specialized equipment, and may not be suitable for point-of-care settings. The need for rapid, non-invasive screening tools is critical for improving healthcare efficiency and patient outcomes.

Solution

InspectIR Systems provides a portable breath analysis platform that utilizes mass spectrometry and machine learning to detect volatile organic compounds (VOCs) associated with various conditions. Their PNY-1000 system brings lab-caliber analytics into the field, delivering results in minutes with high sensitivity. The patented technology analyzes breath samples directly, eliminating the need for biological material storage and reducing the risk of cross-contamination. This allows for immediate screening and detection at the point of care, enhancing the efficiency of medical assessments and interdiction efforts.

Target Audience

The primary target audience includes healthcare providers, law enforcement agencies, homeland security, and corrections facilities seeking rapid, non-invasive screening tools for medical diagnostics, drug interdiction, and environmental monitoring.

Features

  • Miniature mass spectrometer for real-time breath analysis
  • Patented technology for VOC detection and chemical identification
  • Machine learning algorithms for data analysis and pattern recognition
  • Non-invasive breath sample collection
  • Results delivered in under 3 minutes
  • High sensitivity and selectivity
  • Portable and easy-to-use design
  • No storage of biological material required
  • Proprietary software for data analysis and display
This profile is AI-generated and may contain inaccuracies.