Gaize provides automated impairment detection technology using proprietary machine learning models to analyze ocular data. This system instantly screens for current impairment from substances including cannabis, alcohol, and opioids with over 98% accuracy. The platform delivers objective, defensible evidence in six minutes, enabling businesses to maintain safety and implement fair drug policies.
Funding
$1.2M 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.
Founders
Product
Problem
Traditional drug tests cannot accurately measure real-time impairment, as they only detect the presence of substances in the system, not the level of current impairment. This poses a challenge for workplaces aiming to ensure safety and prevent accidents caused by employees under the influence of drugs or alcohol. Existing methods lack the immediacy and accuracy needed for on-the-spot assessment of an individual's fitness for duty.
Solution
Gaize offers a real-time impairment detection system that utilizes ocular data analysis to identify active impairment from various substances, including cannabis, alcohol, and other drugs. The system captures and analyzes high-precision ocular data, such as eye movement, pupil size, and head movement, using machine learning and statistical models. This analysis provides immediate, verifiable insights into an individual's impairment level, enabling employers to make informed decisions regarding workplace safety. The platform delivers downloadable impairment reports with video evidence and clear, easy-to-understand reporting accessible from anywhere.
Target Audience
The primary target audience includes safety officers, human resources personnel, EHS professionals, operations managers, and risk managers in industries such as manufacturing, construction, mining, and oil & gas.
Features
- High-precision ocular data capture, including eye movement, pupil size, and head movement
- Proprietary impairment detection models using machine learning and statistical analysis
- Real-time results and instant reporting for immediate decision-making
- Downloadable impairment reports with video evidence
- Remote access to results from any location
- Detection capabilities for a wide range of substances, including cannabinoids, opiates, alcohol, stimulants, and psychedelics
- Integration with existing workplace safety protocols