‘SigTuple’ Develops Intelligent Solutions For Medical Diagnosis Using Machine Learning Techniques
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Launched in: 2015
Founders: Tathagato Rai Dastidar, Rohit Kumar Pandey, Apurv Anand
Total funding: $25.5 M
Key investors: Accel Partners, IDG Ventures India, Endiya Partners, Pi Ventures, Axilor Ventures and more.
SigTuple aims to create a data-driven, ML, and cloud-based solution for the detection of abnormalities and trends in medical data for the purpose of disease diagnosis. Its continuous learning AI-powered platform, Manthana, enables SigTuple to ingest visual medical data from various devices to detect diseases.
They aim to create a data-driven, machine-learned, cloud-based solution for the detection of anomalies and trends in medical data, which improves the accuracy and efficiency of disease diagnosis. It is interesting to see how startups are stepping into the technology sector with their latest innovation and using AI and Machine learning in the health & wellness sector is something very commendable, not for today but future generations also.
The main purpose of using Machine Learning in healthcare is to detect diseases and cure them with the help of technology.
Suprotik Sinha is the Content Writer with Synkrama Technologies. He writes about technologies and startups in the global enterprise space. An animal lover, Suprotik, is a postgraduate from Symbiosis Institute of Mass Communication (SIMC) Pune. He carries 6+ years of experience in Content Writing, and he also worked in mainstream broadcast media, where he worked as a Journalist with Ibn7 ( now known as News18 India) and Zee Media in Mumbai.