Improve health outcomes for Mothers and Babies

Fetal Review delivers AI-assisted fetal imaging review with physician oversight at scale

Newborn's hand holding an adult's finger.

Routine prenatal scans can miss fetal structural anomalies

Detection gaps vary across care settings, and image quality can affect anomaly detection

Detection gaps are greater outside tertiary centers

Suboptimal image quality can limit anomaly detection

Nurse pushing an incubator down a hospital hallway.
Missed anomalies
can
delay
critical
decisions
and
specialist
intervention,
increasing
the
risk
of
poor outcomes
for
mothers
and
babies.
Missed anomalies
can
delay
critical
decisions
and
specialist
intervention,
increasing
the
risk
of
poor outcomes
for
mothers
and
babies.

Suboptimal image quality can delay and impact diagnosis

When image quality is poor at the point of capture, critical findings can be obscured, misread, or missed entirely

Poor image quality drives nearly half of missed anomalies

Poor image quality drives nearly half of missed fetal anomalies

Maternal habitus and fetal position degrade capture quality

Maternal habitus and fetal position degrade capture quality

Sonographer skill varies, directly affecting detection rates

Sonographer skill varies, directly affecting detection rates

Too few specialists. Too many ultrasounds

Maternal fetal medicine (MFM) specialists are limited and geographically unevenly distributed

About 1 MFM for every 2,268 U.S. births

About 1 MFM for every 2,268 U.S. births

MFMs represent roughly 4% of the OB-GYN workforce

MFMs represent roughly 4% of the OB-GYN workforce

Most MFMs are concentrated in metropolitan centers

Most MFMs are concentrated in metropolitan centers

AI-Assisted review built for clinical workflows

Every scan. Every plane. Every suspected finding. Reviewed by AI in minutes, then confirmed by a physician

Multimodal AI analysis

Multimodal AI analysis

Multi-organ fetal anomaly detection

Multi-organ fetal anomaly detection

Designed by MFMs

Designed by MFMs

Gradient of vertical purple stripes fading to white
FetalReview scan report for Sophia Martinez, Fetus 2
Gradient of vertical purple stripes fading to white
FetalReview scan report for Sophia Martinez, Fetus 2
Meet
CoFellow™
an
Agentic AI
companion
that
helps
diagnose
suspected
fetal
anomalies
at
scale
and
gives
physicians
the
clinical
context
they
need
to
decide
with
confidence.
Meet
CoFellow™
an
Agentic AI
companion
that
helps
diagnose
suspected
fetal
anomalies
at
scale
and
gives
physicians
the
clinical
context
they
need
to
decide
with
confidence.
Vertical gradient of light purple with white accents
Chat prompt asking about findings, results, and next steps.

Built to augment physician decision-making, not replace it

CoFellow summarizes fetal scans, flags suspected anomalies, and supports physician-led decisions

Summarizes scan findings

Summarizes scan findings

Flags suspected anomalies

Flags suspected anomalies

Physician is the final authority

Physician is the final authority

Better scans. Faster review. Greater MFM capacity

Improve sonographic quality, accelerate review, and help your MFMs support more scans at scale

Improve sonographic acquisition quality

Improve sonographic acquisition quality

Accelerate AI-assisted scan review

Accelerate AI-assisted scan review

Extend MFM expertise across more cases

Extend MFM expertise across more cases

FetalReview scan report for Sophia Martinez, Fetus 2

FAQ

What is Fetal Review?

Who is Fetal Review designed for?

Does Fetal Review replace a clinician’s interpretation?

Can Fetal Review detect rare or complex anomalies?

What insights does Fetal Review provide?

Team

Fetal Review is founded by Dr. Aswathi Jayaram and Bharat Pasam, combining maternal-fetal medicine expertise with AI product engineering. Together, they are building Fetal Review with a shared mission: making expert-level fetal anomaly review more accessible to mothers and care teams across every community. The founding team brings together clinical authority and hands-on technical execution, ensuring every product decision is grounded in both rigorous medicine and real-world workflow needs.

Woman in white lab coat smiling, grey background

Dr. Aswathi Jayaram

Co-Founder, Co-CEO

Dr. Aswathi Jayaram is a maternal-fetal medicine specialist with deep expertise in fetal imaging, high-risk pregnancy care, and AI-assisted fetal diagnostics. She is a pioneer in applying AI and agentic clinical workflows to fetal medicine, helping guide the development of physician-centered tools for anomaly detection and clinical decision support.

Man with beard and glasses wearing a black shirt

Bharat Pasam

Co-Founder, Co-CEO and CTO

Bharat Pasam is an AI entrepreneur and engineer who builds customer-centric, scalable products at the intersection of clinical care and technology. As Co-CEO and CTO, he leads both Fetal Review's vision and its technical execution — architecting the platform's AI infrastructure, diagnostic pipelines, and physician-facing tools end-to-end, driven by the belief that AI should make expert-level care accessible to every mother, everywhere.

Pale blue and white abstract diagonal stripes.

Partner with us to
improve fetal care

Help bring specialist-guided review to the people who need it most

Fetal Review dashboard showing scan statistics and history
Pale blue and white abstract diagonal stripes.

Partner with us to
improve fetal care

Help bring specialist-guided review to the people who need it most

Fetal Review dashboard showing scan statistics and history
Pale blue and white abstract diagonal stripes.

Partner with us to
improve fetal care

Help bring specialist-guided review to the people who need it most

Fetal Review dashboard showing scan statistics and history
Pale blue and white abstract diagonal stripes.

Partner with us to
improve fetal care

Help bring specialist-guided review to the people who need it most

Fetal Review dashboard showing scan statistics and history