Product
Lab Precision & Decision Support
Forlivf is a pure software-only operating layer. We plug instantly into standard microscope cameras to convert manual visual fatigue into objective, data-backed oversight.
Explainable Embryo Grading
Pixel-precise semantic segmentation automatically maps the geometric boundaries of sub-micron cell layers, replacing subjective human visual bias with hard structural data.
Plate B — Day-5 human blastocyst, brightfield. The four regions are hand-traced boundaries from the annotation set, not model output. Motion paused by system preference.
toggle layers to isolate structures
Inner Cell Mass
The inner cell mass is the cluster of cells that develops into the fetus itself. A well-defined, densely packed ICM is associated with a higher likelihood of implantation.
Select Confidently
Every embryo in the cycle is ranked in one view, each score shown beside the image it was read from. The embryologist sees what the model saw, how sure it is, and keeps the final call.
Inventory
Patient 5
Olivia Brown
?02-12-2026
Key Features
AI Ranking
Every embryo in the cycle is scored and ordered, giving the embryologist one more reference alongside their own read.
Morphology Grading
Expansion stage, inner cell mass and trophectoderm are assessed automatically, so grading holds consistent between embryologists.
Report Generation
Selected embryos summarise into a single sheet, so what the lab decided can be explained plainly to the patient.
Automated Gamete Precision
Computer vision calculates precise linear velocity vectors through high-magnification motion blur, instantly isolating optimal cells for ICSI procedures and removing manual checking errors.
Plate A — Microscope footage of a live sperm sample, 712 frames at 30 fps. The measurements alongside were computed from this clip. Motion paused by system preference.
Top 5 by motility
progressive first, then straight-line velocity
Every cell is followed frame to frame and scored on how it moves. Reveal the five strongest candidates.