AI-Powered Embryo Quality Assessment at EMBRY

At EMBRY, we are redefining how embryo quality is assessed by combining deep IVF expertise with cutting-edge artificial intelligence.

Traditionally, embryo evaluation relies on visual assessment by experienced embryologists, analyzing morphology, development stage, and subtle indicators that can influence implantation success. While this expertise is invaluable, it is also subjective and time-intensive. EMBRY introduces a new layer of precision.

Our platform uses a proprietary AI model trained to detect embryo quality directly from images and videos captured in the IVF laboratory. By analyzing thousands of visual patterns—such as symmetry, fragmentation, developmental timing, and morphological features—the model delivers consistent, objective quality assessments that support clinical decision-making.

What truly sets EMBRY apart is how the model is trained.

The AI has been developed and refined under the direct supervision of Mimoza Adji-Krsteva, Chief Embryologist at Newborn Clinic, bringing decades of hands-on IVF laboratory experience into the training process. Every dataset, annotation, and validation step reflects real-world embryology practice—not just theoretical benchmarks.

By combining expert embryologist knowledge with advanced computer vision and machine learning, EMBRY helps IVF clinics:

• Standardize embryo quality assessment

  
  

• Reduce subjectivity between operators

  
  

• Gain deeper insights from both static images and time-lapse videos

  
  

• Support better-informed embryo selection

EMBRY is not here to replace embryologists—but to empower them with AI that speaks the language of the IVF lab.