Simon Rasalingham
CEO and Chairman
BA
Behold.ai
Behold.ai offers the red dot® platform, an AI-driven diagnostic tool for CT and X-Ray imaging that rapidly identifies conditions such as lung cancer and stroke. This technology significantly reduces diagnostic wait times, enabling healthcare providers to triage patients within seconds instead of days, thereby improving patient outcomes and operational efficiency.
- Artificial Intelligence
- Healthcare Technology
- Software Only
Updated 2 days ago
Funding
Raised to date
$2.9MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Radiologists face increasing workloads and pressure to quickly and accurately interpret CT and X-ray images, leading to potential delays in diagnosis and treatment, particularly for critical conditions like lung cancer and stroke. Backlogs in image analysis can extend wait times for patients, impacting outcomes and straining healthcare resources.
Solution
Behold.ai offers red dot®, an AI-powered platform designed to rapidly analyze CT and X-ray images for critical conditions. The platform automates the detection of abnormalities, enabling healthcare providers to triage patients more efficiently and reduce diagnostic turnaround times. By prioritizing urgent cases, red dot® aims to improve patient outcomes, optimize resource allocation, and alleviate the burden on radiology departments. The technology has demonstrated the ability to significantly reduce waiting times for suspected lung cancer patients and clear CXR backlogs.
Target Audience
The primary target audience includes radiologists, hospitals, and healthcare providers seeking to improve the speed and accuracy of medical image interpretation, reduce diagnostic backlogs, and enhance patient care.
Features
- AI-driven analysis of chest X-rays and CT head scans
- Automated detection of lung cancer and acute findings such as stroke
- Triage capabilities to prioritize critical cases
- Integration with existing radiology workflows
- FDA and CE approved
- Regulated by the Care Quality Commission (CQC)