Oculyze offers a computer vision cloud platform that utilizes AI-driven image analysis for real-time quantitative assessment of yeast in brewing, winemaking, and bioethanol production. This technology automates manual image analysis tasks, enabling users to efficiently monitor yeast growth and optimize fermentation processes, resulting in reliable data within minutes.
Funding
$876.3K 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
Manual yeast analysis in brewing, winemaking, and bioethanol production is time-consuming, labor-intensive, and prone to human error, hindering efficient process monitoring and optimization. Traditional methods often lack the speed and accuracy required for real-time decision-making in fermentation processes.
Solution
Oculyze provides an AI-powered image analysis platform that automates yeast cell counting, viability assessment, and budding analysis for the brewing, winemaking, and bioethanol industries. The platform utilizes computer vision algorithms to rapidly and accurately quantify yeast characteristics from microscopic images. By automating these tasks, Oculyze enables users to monitor yeast growth, optimize fermentation times, and improve product quality with reliable data delivered in minutes. The system integrates with existing lab equipment and offers a user-friendly interface for seamless adoption.
Target Audience
The primary target audience includes brewers, winemakers, bioethanol producers, and laboratory technicians involved in yeast propagation and fermentation monitoring.
Features
- Automated yeast cell counting, viability analysis, and budding count using AI-driven image recognition
- Rapid analysis of microscopic images, providing results in minutes
- Compatibility with existing microscopes and mobile devices
- Cloud-based platform for data storage, analysis, and reporting
- Customizable image analysis parameters for specific yeast strains and applications
- API for integration with existing software and laboratory information management systems (LIMS)
- Automated colony counting for pre-poured agar plates