The startup develops diagnostic devices that integrate microfluidics, robotics, and cloud computing to enhance disease detection through AI-driven analysis of visual medical data. This technology improves diagnostic accuracy and efficiency for clinicians, addressing the challenges of timely and precise disease identification.
Funding
$43.2M 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.
SVFounders
Product
Problem
Manual microscopy for disease diagnosis is labor-intensive, inconsistent, and inefficient. The limited availability of qualified pathologists exacerbates these issues, hindering timely and accurate diagnoses.
Solution
SigTuple automates microscopy through AI and robotics, offering AI-assisted digital pathology solutions. Their AI100 platform, combined with ShonitTM and ShravaTM, automates the analysis of blood smears and urine sediments, respectively. This technology enhances the speed, accuracy, and accessibility of diagnoses by removing the need for manual processes. The cloud-enabled platform facilitates remote review and collaboration, overcoming geographical limitations and improving healthcare delivery.
Target Audience
The primary target audience includes clinical laboratories and healthcare providers seeking to automate and improve the efficiency and accuracy of microscopy-based disease diagnosis.
Features
- AI100: An AI-driven smart robotic microscope for automated digital pathology.
- ShonitTM: An automated peripheral blood smear slide analyzer with FDA 510(k) clearance.
- ShravaTM: An automated urine sediment analyzer.
- Cloud-based platform for remote review and collaboration.
- AI-powered analysis of visual medical data.
- Patented technology in the United States of America and India.
- Clinical studies and publications in medical and technical journals.