Company profile

Ultrasound AI

Medical Imaging & Radiology

Company profile

About Ultrasound AI

Ultrasound AI is a medical AI company that has developed Delivery Date AI™, an FDA De Novo-granted cloud-based Software as a Medical Device (SaMD) designed to support obstetric care through AI-powered delivery date prediction. The company's flagship product analyzes standard pregnancy ultrasound images to provide clinicians with an independent Predicted Delivery Date (PDD) for singleton pregnancies between 14 0/7 and 36 6/7 weeks gestation where a reliable estimated delivery date is unavailable. Founded by Robert Bunn, the company was built on the principle that every family deserves clarity and confidence during pregnancy. Delivery Date AI addresses a critical gap in prenatal care: approximately 24.5% of US pregnancies do not begin prenatal care in the first trimester, and 35% of US counties are maternity care deserts. The technology has been clinically validated across more than 5,700 patients in peer-reviewed studies, demonstrating a 58% reduction in prediction error compared to standard of care methods. The solution integrates seamlessly into existing clinical workflows, requiring no new hardware and delivering results in under 30 seconds through a HIPAA-compliant cloud infrastructure. Ultrasound AI's technology is designed as an adjunctive tool to support clinical judgment, not replace it, providing OB/GYNs and MFM specialists with an additional reliable data point when standard dating methods fall short due to unreliable last menstrual period, absence of first-trimester scans, or late presentation to care.

Company description Ultrasound AI official website

Primary marketMedical Imaging & Radiology
Commercial modelCommercial information available on request
Company presenceLinkedIn X
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Obstetric care
  • Pregnancy dating
  • Singleton pregnancies 14 0/7 to 36 6/7 weeks gestation without reliable estimated delivery date

Who it serves

  • Health systems
  • Hospitals
  • Medical centers
  • MFM specialists
  • OB/GYN practices

Deployment & integration

Cloud Saas deployment with recorded integration context.

Recorded integration context: Compatible with most standard ultrasound systems, DICOM image upload.

Geographic context

MarketsBrazil · Chile · North America · South America · United States
Company sourceOfficial website

Company milestones

Platform expansion

FDA De Novo authorization granted March 2026. Expanded U.S. commercial deployment preparation underway. Multiple media features in 2026 including CBS News Colorado, The Healthcast, and The Healthtech Podcast.

Partnerships

Recorded partners

  • BeBe Lab Medical Center
  • University of Kentucky (PAIR study)

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

Delivery Date AI

AI-powered delivery date prediction from standard ultrasound imaging for pregnancies without reliable dating

Software · Cloud SaaSCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

58% reduction in prediction error

Compared to standard of care Hadlock method in suboptimally dated singleton pregnancies

15.22 days mean absolute error

FDA Pivotal Validation Study with 247 patients

One third more likely to need NICU care

When due date was less certain (18.07% vs 13.25%, p=0.01, N=2,113, JMIR Pediatrics & Parenting, Reis et al. 2020)

BeBe Lab Medical Center

Using AI technology to determine delivery dates and assess pregnancy risks, helping solve problems before they arise

Institution feels confident using the technology as it helps solve problems before they arise and is described as 'saving lives'

FDA Pivotal Validation Study

Clinical study for suboptimally dated singleton pregnancies between 14-36 weeks gestation

58% reduction in prediction error compared to standard of care (15.22 days mean absolute error vs 36.41 days using Hadlock method, p < 0.001)

University of Kentucky PAIR Study

Independent clinical validation study of AI-powered delivery date prediction accuracy

5,714 patients studied across 19,940 ultrasound exams demonstrating clinical validation

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

06 · Company updates

Updates from Ultrasound AI

Recent articles published on Ultrasound AI's official website.

No Company updates are currently listed.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

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Market context

Medical Imaging & Radiology

Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.

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ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

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