SigTuple, a bangalore based A.I. startup that has built an machine learning platform for healthcare, has raised $5.8 million (USD) in Series-A funding led by Accel Partners.
The funding round also had participation from institutional investors like IDG Ventures, Endiya Partners, Pi Ventures, VH Capital (advised by Neeraj Arora) and Axilor Ventures as well as individual investors like Sachin Bansal, Binny Bansal, Amit Singhal (SVP Engineering, Uber), Kris Gopalakrishnan and S D Shibulal (Axilor Ventures).
SigTuple was founded in 2015 by Rohit Kumar Pandey, Apurv Anand and Tathagato Rai Dastidar. The core product of the company is an A.I. based platform for healthcare, called Manthana.
On top of this platform, Sigtuple has built a solution for blood diagnosis, called Shonit, using a combination of on-lab automated microscopic imaging system and A.I. The product has already undergone 3 clinical trials and will soon be available for commercial adoption. The company has also applied for half a dozen patents.
Similar solutions for semen and urine diagnosis are on the way. Through these solutions, the startup aims to improve the accuracy, speed and accessibility of diagnostics across India. Eventually,it aims to build on its platform to move beyond diagnosis to predictive healthcare and treatment recommendations.
SigTuple had raised $740,000 (USD) in funding back in October 2015 from Sachin Bansal, Binny Bansal, Accel Partners, Ashok Bareja, Dr. Nirupa Bareja and Debanjan Mukherjee.
The company plans to use this funding to expand the team (hiring data scientists as well as for marketing and sales) and further improve the platform and product. SigTuple will also apply for US FDA approval following which it will expand globally into South-east Asia, Middle-east, US and Europe.
Read our detailed earlier coverage of SigTuple’s disruptive solution here: This AI pathologist could be a life-saver for India’s ailing diagnostics sector
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