AISA is an advanced AI-powered platform that delivers standardized, accurate, and repeatable semen analysis
Core Capabilities
Powerful AI-driven capabilities built to simplify and enhance laboratory semen analysis.
AI-Enhanced CASA Analysis
Enhance semen analysis with intelligent, consistent, and automated assessment.
Advanced Kinematic Assessment
Analyze sperm movement patterns with precise, data-driven measurements.
AI Morphology Classification
Classify sperm morphology consistently using intelligent image-based analysis.
Automated Motility & Concentration Tracking
Automatically measure sperm motility and concentration for reliable results.
Standardized Workflow Automation
Streamline laboratory workflows with consistent and automated analysis processes.
Real-Time Data Visualization
Visualize semen analysis data instantly for faster clinical decisions.
Digital Reporting & Export
Generate standardized reports and export analysis data with ease.
LIS / EMR Integration Ready
Connect analysis results seamlessly with existing LIS and EMR workflows.
Secure Data Management
Protect sensitive laboratory data with secure and controlled access.
Smarter Semen Analysis with AI
The AI-Based Sperm Analysis Platform is designed to improve clarity, consistency, and control in semen analysis by combining artificial intelligence with precision imaging and laboratory automation.
The result is a scalable, reproducible, and data-driven approach to male fertility assessment suitable for IVF clinics, fertility centers, research laboratories, and andrology practices.
System Design
Features
Purpose-built design for accurate, efficient, and seamless semen analysis.
Fully automated and repeatable workflow
Integrated touchscreen interface
Fixed-depth chamber for standardized evaluation
Supports routine laboratory operations
Smarter Semen Analysis. Powered by AI.
Transform semen analysis with intelligent automation, precise assessment, and standardized workflows. Generate consistent, data-driven insights to support faster laboratory decisions.
