Pelviora AI
Earlier Endometriosis Detection Through AI-Assisted Ultrasound
~190M
Women Affected
<30ms
Latency
100%
On-Device
6+
US Brands
Pelviora AI transforms any standard ultrasound machine into a powerful endometriosis screening tool. The compact Pelviora Edge device (NVIDIA Jetson Orin NX) connects via HDMI and runs a CNN ensemble that performs anatomy recognition, image quality assessment, and anomaly highlighting in under 30ms — entirely on-device with zero cloud dependency. Generates DICOM/PDF diagnostic reports integrated directly with existing PACS systems. Women wait 8–10 years on average for an endometriosis diagnosis; Pelviora aims to reduce that to 1–3 clinical visits.
Started
2026
Category
HealthTech
The Problem
Endometriosis affects ~190 million women worldwide, yet takes an average of 8–10 years to diagnose. Standard transvaginal ultrasound sensitivity is only 4–43%, leading to repeated misdiagnoses, unnecessary referrals, and $13,670 annual cost per patient in direct medical expenses and lost productivity.
The Solution
Pelviora Edge plugs into any existing ultrasound machine via HDMI — no modifications, no downtime, no new equipment. During a routine transvaginal scan, the on-device CNN ensemble analyzes the feed in real-time: anatomy recognition, image quality assessment, and anomaly highlighting to flag potential endometriotic lesions. All processing happens locally on the NVIDIA Jetson Orin NX, ensuring 100% data privacy with no cloud dependency. Instant DICOM/PDF reports are sent directly to the clinic's PACS.
Key Results
~190M women affected globally as target population
<30ms real-time AI analysis latency
100% on-device processing — no cloud, full privacy
Compatible with GE, Philips, Samsung, Mindray, Siemens, Canon ultrasound machines
