Saigeware
Focuses on providing actionable insights into the field of health.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
$200k | Seed | ||
| Total Funding | 000k | ||
Related Content
Saigeware Technologies Private Limited operates as a digital health company, positioning itself at the intersection of artificial intelligence and healthcare. Incorporated in late 2019 and based in Bengaluru, India, the firm was founded by Prasad Panchangam. The company directs its efforts towards creating decision support tools for medical practices, with a specific focus on cardiac and pulmonary care. Saigeware's core offering is a deep phenotyping platform that leverages AI and machine learning to analyze large-scale population datasets. This platform aims to provide personalized healthcare by stratifying patient risk using non-invasive biomarkers, thereby helping to optimize care management.
The company's business model is primarily B2B, targeting enterprise-level health systems, pharmaceutical companies, and clinical trials. Revenue streams are generated through licensing, subscriptions, and fee-for-service models. The technology is designed to identify at-risk patient groups, monitor changes in health over time, and ultimately improve clinical outcomes and resource use. Saigeware's platform integrates data from various sources, including FDA-approved sensors, to provide real-time health data and actionable insights through dashboards and EMR integration. One of its products, SAiWELL, is an application that uses this technology for remote patient monitoring, focusing on post-hospitalization recovery for patients at high risk of stroke.
Financially, Saigeware secured seed funding of approximately $256,000 in October 2020, in a round led by Ideaspring Capital, which also included participation from angel investors. The founder, Prasad Panchangam, holds the largest share of the company at over 41%. The company's platform is built to be deployed across multiple channels, including the cloud, IoT devices, and mobile technologies, to address opportunities in the digital health, pharmaceutical, and insurance markets.
Keywords: digital health, AI healthcare, clinical decision support, deep phenotyping, risk stratification, remote patient monitoring, biomarker analytics, cardiac care, pulmonary care, personalized medicine