Serino develops miniaturized near-infrared (NIR) sensors that analyze the chemical composition of materials for applications in food quality control and medical diagnostics. Their pocket-sized sensors enable rapid nutrient and contaminant analysis in food and offer a non-invasive method for breast cancer detection through tissue composition analysis.
Funding
$10K 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 laboratory NIR spectroscopy equipment is bulky, expensive, and requires specialized training, limiting its accessibility for on-site material analysis and real-time quality control. This restricts rapid decision-making in various industries, including food production and medical diagnostics, where immediate compositional data is crucial.
Solution
Serino develops miniaturized, affordable near-infrared (NIR) sensors that enable rapid, on-site chemical composition analysis of materials. Their quantum NIR sensors significantly reduce the cost and size of traditional NIR spectroscopy, making it accessible for a wider range of applications. These pocket-sized sensors facilitate real-time nutrient and contaminant analysis in food, as well as non-invasive tissue composition analysis for medical diagnostics. By democratizing access to material data, Serino empowers businesses and researchers to make informed decisions faster and more efficiently.
Target Audience
Serino's primary customers include food producers, agricultural companies, medical professionals, and research institutions seeking affordable and portable NIR spectroscopy solutions for rapid material analysis.
Features
- Miniaturized NIR sensors based on quantum technology for reduced size and cost
- Tunable detectors allowing for customized sensor solutions
- Rapid nutrient analysis for food quality control
- Non-invasive tissue composition analysis for medical diagnostics
- Portable design for on-site material analysis
- Integration with existing data collection systems