Lumius
Spring 2026 NewFast, smart, accessible 3D ultrasound for everyone
Ultrasound today is still mostly 2D. Clinicians have to imagine the 3D anatomy in their head while also moving the probe at the same time. This makes procedures like vascular access hard to learn and perform consistently, especially for beginners. ~50% fail on their first attempt. Hospitals also spend millions each year on 2D ultrasound training. Meanwhile, existing 3D ultrasound devices can cost >10× as much. Lumius is building fast, smart, and accessible 3D ultrasound systems to eliminate this 2D guesswork. Our technology shows a clear, real-time 3D view of what’s inside the body. It works over a large volume, not just a thin slice. The device is also affordable, compact, and portable. We are starting with vascular access, especially central line. Future use cases include blood clot detection, tumor diagnosis, and biopsy guidance. Our long-term vision is a universal 3D ultrasound platform that brings easy-to-use, real-time imaging to a wide range of clinical and eventually consumer applications.
AI Investor Summary
Lumius is developing fast, smart, and accessible 3D ultrasound systems to overcome the limitations of current 2D technology, which requires complex mental visualization and is expensive. With a technically strong founding team and a large market opportunity in medical imaging, Lumius aims to democratize 3D ultrasound for improved patient care and training.
Key Highlights
- ● Addresses a significant pain point in medical imaging: the difficulty and cost of 3D ultrasound.
- ● Strong technical foundation with a Stanford PhD and expertise in AI/computer vision.
- ● Y Combinator acceptance signals early validation and potential for high growth.
Risk Factors
- ● Execution risk in developing and manufacturing complex medical hardware.
- ● Long sales cycles and regulatory approval processes in the healthcare industry.
- ● Competition from established medical device companies and potential new entrants.
- ● Demonstrating clinical efficacy and widespread adoption by medical professionals.
Founders
Chenhang Li is the co-founder of Lumius, a Y Combinator startup focused on advanced imaging solutions. His professional background likely includes significant expertise in computer vision, machine learning, and potentially hardware development, given Lumius's focus on imaging technology. He has a strong academic foundation, with a Ph.D. from Stanford University.
Luca Menozzi is the co-founder of Lumius, a Y Combinator startup focused on advanced imaging solutions. His background likely includes significant expertise in computer vision, machine learning, and engineering, driving the development of Lumius' innovative technology. His entrepreneurial journey with Lumius highlights a commitment to applying cutting-edge research to real-world problems.
Tri Vu is the co-founder of Lumius, a Y Combinator startup focused on advanced imaging solutions. His professional background is rooted in deep technical expertise, likely in areas related to computer vision, AI, and hardware development, which he leverages to drive Lumius's innovative product roadmap. While specific details of his prior achievements and publications are not readily available, his involvement with Y Combinator signifies a strong potential for future impact in the tech industry.
Score Breakdown
Strong technical team with deep expertise in computer vision, ML, and engineering, evidenced by a Stanford PhD. While specific prior exits or notable employers aren't explicitly detailed for all founders, their YC acceptance and focus on a complex hardware/software problem indicate significant potential. Founder-market fit is implied by tackling a clear pain point in medical imaging. [Boost +1: PhD from Stanford]
Large addressable market in medical imaging, specifically ultrasound, with a clear need for improved 3D visualization and accessibility. The current market is dominated by expensive, complex 2D systems, creating a significant opportunity for a more affordable and user-friendly 3D solution. Regulatory hurdles are a consideration but also a potential barrier to entry for competitors.
Product shows promise by addressing a critical limitation in current 2D ultrasound (cognitive load for 3D anatomy) and the high cost of existing 3D systems. Technical differentiation likely lies in their proprietary software for real-time 3D reconstruction and potentially novel hardware. Defensibility will depend on the IP around their algorithms and hardware integration. UX quality and platform potential are yet to be fully demonstrated.
Early stage with no explicit revenue or user numbers provided in the description. Traction is primarily demonstrated through YC acceptance and positive press coverage, indicating strong investor interest and validation of the core idea. Partnerships and significant user adoption are likely future milestones.
News
This article mentions Y Combinator's activity in Q1 2026, noting their participation in various deals, though Lumius is not specifically highlighted.
The article details how Chenhang Li, co-founder of Lumius, is driving the company's mission to create accessible 3D ultrasound technology, leveraging Duke research and securing Y Combinator backing.
Lumius offers a real-time, intuitive, and affordable 3D imaging solution for medical applications, starting with image-guided vascular access.
Lumius is developing fast, smart, and accessible 3D ultrasound systems to eliminate the guesswork in current 2D ultrasound procedures, offering a real-time 3D view of internal anatomy.
Quick Info
- Batch
- Spring 2026
- Team Size
- 4
- Location
- Durham, NC, USA
- Founders
- 3
- Scraped
- 4/10/2026