Conventional assessment
Useful operational baselines, reported as population averages.
Total motility88%
Progressive motility76%
Cell count2.6B
A normal average cannot show which individual sperm are functionally complete.
Reproductive intelligence, cell by cell
Averages miss
the cells that matter.
Identify the predicted fertile sperm subpopulation hiding inside a normal-looking ejaculate. Advanced single-cell phenotyping for boar and bull.
CELL / 084271
PREDICTED FERTILE SIGNATURE
DNA integrity96.8stable
Membrane integrity94.2intact
Acrosome health91.7responsive
Reactive oxygen species07.4low
Extended panel+6additional markers
BOAR + BULLSINGLE-CELL PHENOTYPINGCONFIDENTIAL BY DESIGN
THE QUESTION ISN’T “HOW GOOD IS THE AVERAGE?”
It’s “which cells can actually fertilize?”01 / The evidence
The preamble
Normal on paper.
Subfertile in practice.
Conventional semen measures can look acceptable while fertility varies dramatically. In a commercial boar dataset, one in four sires fell below 80% conception despite acceptable motility and morphology.
1 in 4boars below 80% conception despite normal conventional measures
02 / The biological model
Two dogmas.
Only one explains the gap.
For decades, the field largely treated every live, normal-appearing sperm as equally capable of fertilization. The competing model recognizes functional heterogeneity: only a distinct subpopulation carries the complete combination of traits required to fertilize.
Sperm Intelligence is built for Dogma 02: identify the predicted fertile subpopulation, measure it, and learn what makes it different.
03 / Three levels of assessment
More measurements are not enough.
The relationships matter.
Each level adds information. Only the single-cell layer preserves which traits occur together and whether a high-value predicted fertile subpopulation is present.
Biomarker assessment
Better biology, but still averaged across the whole sample.
94%DNA integrity
89%Membrane integrity
83%Acrosome health
12%Reactive oxygen species
Independent averages do not reveal whether favorable traits belong to the same cells.
Sperm Intelligence
Linked traits, per cell, across the whole ejaculate.
MORPHOLOGY / 85% FAVORABLE
BIOMARKER STATUS / 50% FAVORABLEFavorablePoor DNA integrityPoor acrosome healthPoor membrane integrityHigh reactive oxygen species
COMBINED CELL SIGNATURE12 / 28 PREDICTED FERTILE
FavorableUnfavorable traitPredicted subfertile
Only cells favorable across morphology and the biomarker panel are classified as predicted fertile.
04 / Motility subpopulations
Movement is not one
average behavior.
Motility does not predict biomarker status. It provides a separate functional view of how sperm move, revealing distinct behavioral subpopulations that disappear inside total and progressive motility averages.
- Resolve high, moderate and low velocity populations
- Measure progressive, transitional and non-progressive movement
- Track shifts in subpopulation structure across collections and time
DRAG TO ROTATE / MOTILITY FEATURES ONLY
05 / Species programs
PORCINE
Boar Intelligence
Longitudinal sire monitoring, subpopulation-aware motility, early-warning signals and decision support for conventional and reduced-dose breeding programs.
Become a Partner →BOVINE
Bull Intelligence
Single-cell insight across fresh and frozen semen, connecting functional subpopulations to field fertility and emerging breeding technologies.
Become a Partner →06 / Production integration
From laboratory to live operations
Intelligence that moves
at production speed.
Coming soon: secure API access designed to connect the latest sample status, sire trends and decision-ready signals directly to breeding, laboratory and production systems.
Discuss integration ↗API / COMING SOON● PREVIEW
GET /v1/sires/BR-1042/latest
{
predicted_fertile_subpopulation: 0.186,
trend: +2.4%,
alert: false,
updated: live
}Sample→Analysis→Your system
07 / The platform
Every cell becomes
a permanent data asset.
Standardized image-based flow cytometry and AI-assisted analysis create a digital archive that becomes more valuable as new phenotypes, markers and models are validated.
Submit
Coded samples enter a standardized confidential workflow.
Phenotype
Morphology, motility and biomarkers are linked per cell.
Benchmark
Results are compared with historical and de-identified references.
Integrate
Dashboards and APIs deliver signals into live operations.
08 / Benchmarking
Context turns a result into a decision
Know where each sire stands.
Then learn what changes.
Within-sire
Compare collections over time to identify meaningful shifts from each sire’s own baseline.
Within-program
Compare contemporary sires under your genetics, handling and production conditions.
Reference population
Opt in to de-identified consortium references for broader context and stronger prediction.
Your identifiable results remain confidential. Shared benchmarking uses de-identified, appropriately nested data so biological differences are not confused with genetics or program effects.
09 / Laboratory partners
Designed to complement, not replace
Your third-party andrology reference lab
remains essential.
Routine semen analysis and Sperm Intelligence answer different questions. Third-party laboratories remain the experts for cell count and concentration, pH, osmolarity, bacterial status and everyday quality control. Our focus is narrower: the cellular biology associated with sperm fertility.
Connect your trusted laboratory or private consultant directly to your program. We work side by side with existing partners, adding a specialized fertility layer to the services they already provide.
ROUTINE ANDROLOGYCount and concentrationpH and osmolarityBacterial statusRoutine quality control
SPERM INTELLIGENCESingle-cell phenotypesLinked biomarker statusFertility subpopulationsPrediction and learning
10 / Independent consortium
Confidential by design.
Your data, your choice.
Every organization receives confidential results and controls how its data supports future model development.
Consortium-enhanced
Your data can contribute to a larger de-identified model while remaining nested and corrected for your genetics. As the shared evidence grows, your program gains access to stronger fertility prediction and broader benchmarking.
Fully proprietary
Keep your data in a private model that does not contribute to the consortium model. You still gain the platform, standardized pipeline and your own results, but not the prediction gains created by the larger shared dataset.
Connected expertise
Grant controlled access to your private consultants, breeding specialists or third-party andrology laboratory so they can interpret results and work beside your team.