AIVF provides an AI-powered platform that delivers data-driven insights for IVF clinics, enhancing embryo selection and evaluation processes. This technology reduces embryo evaluation time by over 97.8% and decreases the number of cycles needed to achieve a fetal heartbeat by more than 27.5%, improving overall treatment outcomes for patients.
Funding
$31.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
In vitro fertilization (IVF) clinics face challenges in efficiently and accurately selecting viable embryos for transfer, a process that heavily relies on manual evaluation and subjective grading. This can lead to extended evaluation times and potentially impact the number of IVF cycles needed to achieve a successful pregnancy.
Solution
AIVF offers an AI-powered platform, EMA™, designed to provide data-driven insights for IVF clinics, enhancing embryo selection and evaluation. The platform analyzes embryo images using machine learning algorithms to predict the likelihood of successful implantation. By automating and standardizing the evaluation process, AIVF aims to reduce the time embryologists spend on manual assessment and improve the consistency of embryo grading. The AI-driven insights help clinicians make more informed decisions, potentially decreasing the number of cycles required to achieve a fetal heartbeat and improving overall treatment outcomes for patients.
Target Audience
The primary target audience includes IVF clinics, embryologists, and clinicians seeking to improve the efficiency and success rates of their IVF programs through the use of artificial intelligence.
Features
- AI-powered image analysis for Day-3 and Day-5 embryo evaluation
- Non-invasive technology to enhance IVF success rates
- Analytics platform providing insights to boost efficiency and improve outcomes
- Communication tools for enhanced patient engagement
- Integration of genetic data for comprehensive embryo assessment