AI Embryo and Egg Assessment Platform for IVF Clinics
An explainable-AI decision-support platform for fertility clinics that assesses embryo and egg quality, tracks lab performance and shares treatment progress with patients. WeyBee engineers work on the product's software.
Embryologists choose which embryo to transfer by assessing development visually, which is time-consuming and varies between people. This platform analyses time-lapse imaging and millions of data points to give clinicians an objective, explainable assessment of embryo and egg quality. It also monitors lab performance and turns lab data into clear updates for doctors and patients. The products are FDA cleared and CE marked in their respective markets.
- Give clinicians objective assessments while showing exactly why the AI reached each result.
- Automate lab annotations and remove manual data entry.
- Connect with lab equipment and clinic record systems securely.
- Meet the quality and documentation standards of a regulated medical device.
WeyBee engineers work within the client's product team on the cloud platform around the AI: clinician dashboards, lab performance tracking, integrations with clinic systems, and patient-facing treatment insights. They follow the client's quality and regulatory processes. The client owns the AI models and clinical validation.
Automated development annotations and objective, explainable embryo ranking.
Oocyte quality assessed from a single image to support fertility preservation.
Automatic KPIs that flag issues early and prevent costly lab deviations.
Lab data turned into clear visuals for doctors and patients.
Secure cloud access for clinicians from tablet and mobile.
Connects with clinic record systems to remove manual data entry.
Engineering the cloud platform
around explainable AI for IVF
The client's explainable-AI models assess embryo and egg quality. WeyBee engineers work in the product team on the software that brings those assessments to clinicians and patients.
Dashboards present each assessment with the reasons behind it, so embryologists can act on it.
Quality indicators across the lab, built on the same data the AI uses.
Integrations with time-lapse imaging and clinic records bring the AI into the daily workflow.
Treatment progress is shared with patients in a clear, secure view.
- Embryologists spend about a third less time on routine admin work.
- More consistent, objective embryo selection, with the reasoning visible to clinicians.
- Used by fertility clinics internationally, with regulatory clearance in major markets.
Large-Scale AI-Powered Data Crawling and ETL Platform
Planning something similar?
Tell us what you're building and we'll suggest the right team, engagement model and first AI use case.