The startup has developed an operation-assisted navigation system that utilizes artificial intelligence to analyze surgical images in real-time, enhancing the cognitive capabilities of surgeons during laparoscopic procedures. This technology aims to improve the safety and effectiveness of endoscopic surgeries by visualizing critical information that is often implicit in surgical practice.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Laparoscopic procedures rely heavily on the surgeon's ability to recognize anatomical structures, plan surgical steps, and make critical decisions, all of which are traditionally acquired through extensive experience. This reliance on tacit knowledge can lead to variability in surgical outcomes and increased risk of complications.
Solution
Jmees provides an AI-powered surgical assistance system, SurVis, designed to enhance the surgeon's cognitive capabilities during laparoscopic procedures. SurVis analyzes real-time endoscopic images, highlighting key anatomical structures such as the ureter and bladder during hysterectomies to improve surgical safety and precision. By augmenting the surgeon's awareness and decision-making, SurVis aims to reduce the risk of organ damage and improve overall patient outcomes. The system has demonstrated improved organ recognition sensitivity when used in conjunction with surgeons performing the procedure.
Target Audience
The primary target audience includes gynecological surgeons specializing in minimally invasive procedures, as well as hospitals and surgical centers seeking to enhance the safety and efficacy of laparoscopic surgeries.
Features
- AI-driven image recognition for real-time analysis of laparoscopic video feeds
- Intraoperative detection and highlighting of critical anatomical structures (e.g., ureter, bladder)
- Compatibility with both standard laparoscopic and robot-assisted surgical platforms
- Demonstrated improvement in surgeons' organ recognition sensitivity during performance evaluation tests