Choose your journey
For pregnancies without a reliable estimated delivery date, Delivery Date AI gives clinicians an independent, AI-generated Predicted Delivery Date, built into the ultrasound workflow they already use.
See How It Works

See Delivery Date AI™ in action

Clinical Workflow

Scan
Upload a standard DICOM ultrasound image from your existing system.
1
Analyze
Delivery Date AI analyzes the entire image, including fetal and maternal characteristics.
2
Review
Receive a Predicted Delivery Date (PDD) to use alongside your clinical assessment in under 30 seconds.
3
Clinician FAQs
Clinical questions, answered.

Easy installation

Easily install on most standard ultrasound machines.

Instant analysis

Results delivered in under 30 seconds after upload.

Secure & scalable

HIPAA-compliant cloud infrastructure.

Designed to support

The Predicted Delivery Date should be used as an aid in clinical judgment, alongside standard of care methods.
University of Kentucky PAIR study
Independent clinical study demonstrating AI-powered delivery date prediction accuracy.
5,714
Patients 
studied
19,940
Ultrasound
exams
Clinically validated. 
Independently studied.
Validated through rigorous clinical studies across multiple countries.
Regulatory Approvals 
Status varies by region.
Approved
USA (FDA De Novo Cleared)
Brazil (ANVISA)
Chile
2023 Geneva Innovation Award Winner
Recognized for innovation and clinical impact.
FDA Pivotal Validation Study
Independent clinical study submitted in support of FDA De Novo clearance.
247
Patients Studied
Suboptimally dated singleton pregnancies, 14 to 36 weeks gestation
15.22 Days
Mean Absolute Error
58% reduction in prediction error compared to standard of care
p < 0.001
Compared to 36.41 days using the Hadlock method, in suboptimally dated singleton pregnancies.
Ready to bring Delivery Date AI™ to your clinic?
Request a demo to see how Delivery Date AI™ fits into your clinical workflows.
Request A Demo
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