
Advenio
AI-powered medical imaging diagnostics for healthcare providers.
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
Total Funding | 000k |
Advenio is a deep-tech company focused on transforming healthcare diagnostics through artificial intelligence. The company, founded by Mausumi Acharyya, operates an AI-driven predictive diagnostic platform that utilizes machine learning, data science, computer vision, and advanced image processing to detect diseases from medical images. Mausumi Acharyya, the Founder and CEO, has over 25 years of experience in AI and Medical Imaging, with previous leadership roles at Siemens and General Electric.
The company's primary product is Adven-i, a browser-based teleophthalmology platform that analyzes images from third-party fundus cameras to detect retinal abnormalities with high accuracy. This technology is designed to assist in the diagnosis of various systemic diseases that manifest in the retina, with potential applications in ophthalmology, endocrinology, cardiology, and neurology, including for diseases like Alzheimer's and Parkinson's. The platform aims to make diagnostics faster and more affordable by reducing interpretation uncertainties and lessening the administrative workload for doctors.
Advenio's business model serves a range of clients, including eye and diabetic clinics, as well as the insurance and pharmaceutical industries. By integrating its AI system, the company aims to restructure the workflow of hospitals and public health screenings. The company is based in Gurugram, India, and has received funding from institutional investors such as Unreasonable, Zone Startups India, and Mumbai Angels.
Keywords: predictive diagnostics, AI in healthcare, medical imaging analysis, teleophthalmology, retinal screening, machine learning diagnostics, healthcare technology, computer vision, diabetic retinopathy, disease detection, Mausumi Acharyya, Adven-i, healthcare AI, diagnostics software, medical data science, ophthalmology AI, neurology diagnostics, cardiology AI, endocrinology technology, digital health