The Science, Explained Clearly

We’re redefining male fertility diagnostics through a multi-modal biomarker platform powered by advanced machine learning and AI. By integrating genetic, epigenetic, clinical, and demographic data, we deliver a comprehensive, clinically meaningful assessment that moves far beyond traditional semen analysis.

SpermFit

Our diagnostic, SpermFit, measures the fitness of sperm for fertilization. It is a multi-modal male fertility diagnostic that goes beyond traditional semen analysis to provide personalized predictions of a couple’s likelihood of achieving pregnancy. By integrating advanced biomarkers with machine learning, SpermFit estimates the probability of conception at 3, 6, and 12 months of actively trying, helping couples and clinicians make more informed reproductive decisions.

Microscopic illustration of sperm surrounding an embryo

What we look at

Biological markers linked to function

We focus on biology that can reflect function, not just appearance or count.

Pattern-level insight, not single numbers

We use analytics to evaluate patterns across signals and translate them into clearer meaning.

Outputs designed for action

The goal is not more data. The goal is better direction.

SpermFit translates complex biological data into easy-to-understand pregnancy probabilities. Results are displayed as Spermometers, showing the estimated likelihood of achieving a natural pregnancy at 3, 6, and 12 months of actively trying.

SpermFit Spermometer for Couple A showing estimated chances of natural pregnancy of 58% at 3 months, 85% at 6 months and 94% at 12 months
SpermFit Spermometer for Couple B showing estimated chances of natural pregnancy of 20% at 3 months, 39% at 6 months and 52% at 12 months

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