Our AI models are developed for specific applications and trained to extract meaningful parameters from holographic or spectral data. In cell analysis, they determine concentration and viability by analyzing morphological features, without using stains. In urine microscopy, the models detect and classify elements like red and white blood cells, epithelial cells, crystals or casts, providing both counts and structural details. For spectrometry-based assays, the AI interprets absorbance and turbidity values to calculate concentrations or follow kinetic changes. Each model is built for its purpose and validated using real sample data.