The startup develops a health tech platform that integrates computed tomography (CT) and x-ray imaging technologies to enhance diagnostic efficiency. This platform significantly reduces the time required for medical practitioners to identify life-threatening conditions, facilitating quicker treatment decisions.
Funding
$2.3M 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
Traditional CT and X-ray imaging systems often require significant time for diagnosis, potentially delaying critical treatment decisions and impacting patient outcomes. Current systems may also lack the standardization needed for consistent and reliable results across different healthcare settings.
Solution
Xense is developing Meta CT, a next-generation X-ray tomographic imaging technology based on its proprietary uTomo platform, designed to improve the speed, safety, accuracy, and cost-efficiency of medical imaging. Meta CT aims to replace traditional CTs, fluoroscopes, densitometers, and general X-ray systems by offering enhanced performance and ultra-low radiation exposure. The platform is designed to minimize the time to diagnosis, treatment, and wellness, transforming healthcare delivery through standardization and high performance. Xense's technology also incorporates AI solutions to provide complete imaging solutions.
Target Audience
The primary target audience includes hospitals, clinics, imaging centers, physicians, surgeons, and radiologists seeking advanced imaging solutions for improved diagnostics and patient care. The company also targets OEM customers and consulting clients.
Features
- uTomo technology platform for next-generation X-ray tomographic imaging
- Meta CT system designed to replace traditional CT, fluoroscopy, and X-ray systems
- Ultra-low radiation technology to minimize patient exposure
- AI-powered solutions for enhanced image analysis and diagnostics
- Standardized imaging protocols for consistent and reliable results
- Potential for integration with robotic surgery systems for image guidance
- Capabilities for molecular imaging, in-vivo imaging, and preclinical imaging
- Designed to improve speed, accuracy, and cost-efficiency in medical imaging