Phenotype Image Analysis Platform

A web-based SaaS for researchers to upload microscopy images and automatically analyze cell morphology, fluorescence patterns, and bacterial colonies using computer vision. Saves labs hours of manual image analysis.

Foundation models like SAM (Segment Anything) and BiomedCLIP have made it genuinely feasible to build robust cell segmentation pipelines without a decade of ML research behind you, which shifts the moat from model-building to workflow and integrations — good timing for a small team. No clear incumbent dominates the self-serve, web-based tier; CellProfiler is the closest substitute but it's desktop-based, requires scripting knowledge, and hasn't meaningfully modernized its UX in years. The $2k–10k/mo revenue band is realistic for a lab-tools niche: academic labs have small but real software budgets, and a per-seat or per-project pricing model can get there with 5–20 paying labs without needing enterprise sales. The biggest risk is the procurement reality of academic biology — purchasing cycles are slow, IT security reviews block cloud uploads of experimental data at many institutions, and the person who loves the tool rarely controls the budget.