AI-powered embryo selection method with 90% positive predictive value
IVF accessibility problem
despite widespread need, excessive costs, often reaching 40−60% of annual income, continue to keep advanced reproductive care out of reach. statistics shown are based on data from EU27 member states
  • only 15%
    of all couples that require IVF treatment actually receive it
  • 2 million
    couples are left without access to IVF care every year
fertilization
eggs retrieval & sperm collection
embryo culture
embryo selection
implantation
IVF cycle stages
no improvement in live birth rates in the last
10 years
despite
multiple proposals
Gardner Grading System remains The Gold Standard of embryo selection methods
the solution — patented AI method of embryo unviability prediction
FTIR spectroscopy combined with convolutional neural network analysis predicts embryo unviability with unprecedented accuracy, helping clinics improve treatment outcomes
embryo culture
get 5–6 days blastocyst
load the spent culture
media sample
get FTIR spectrum
get on AI-based
embryo assessment
make treatment decision
tabletop FTIR spectrometer
analyzer
cloud base AI platform
AI classifier
key features

high accuracy

90% positive predictive value

non-invasive

uses only spent culture media

fast

3-minute analysis per embryo

versatile

works with fresh & frozen blastocysts

easy integration

fits seamlessly into current IVF protocol

patients' benefits
17–25% more affordable
treatment cost savings per cycle
*dependng on IVF cycle cost
1.5x faster
reduced time to successful pregnancy
better well-being
2 times fewer miscarriages
in the 1st trimester  —
reduced emotional burden
IVF clinics' benefits
1.4x increased life birth rate
improvement of the main metric of IVF clinic efficiency
easy protocol implementation
no cost of equipment, low cost of training and implementation
all processes on site
no need to send anything to third-party labs
better patient retention
improved adherence through better outcomes
competitive advantage
cutting-edge technology differentiates your practice
comparison of embryo assessment techniques
proven correlation of assessment with live birth rate
gold standard
morphology assessment
PGT-A
or ni PGT-A*
embryo
unviability
prediction
fast assessment
for fresh & frozen embryo
high assessment confidence
*the routine use of blastocyst biopsy with aneuploidy testing in all infertile patients undergoing IVF treatment cannot be recommended
a novel approach to predicting the potential of a blastocyst using untargeted spectral analysis of spent culture medium and machine learning.

this work was evaluated anonymously by four international referees and has been accepted for oral presentation at the 40th ESHRE Annual Meeting. the research contributes to the emerging role of AI in embryo selection, as addressed in the ESHRE/ALPHA Istanbul Consensus (update 2025).

read on Oxford Academic

our team
fusion of expertise in business, embryology & AI
  • Aleksandr Shishov
    entrepreneur
    CEO, co-founder
    business development
  • Aleksey Gryaznov
    embryologist
    CTO, co-founder
    R&D
  • Igor Zilberg
    SW-engineering manager
    head of engineering
    system engineering
you may wonder
no — only the used culture media is analyzed; the embryo itself is not manipulated.​
get in touch

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