Healthcare fintech SaveIN scales partnership matrix to 15K
New Delhi: Healthcare fintech startup SaveIN plans to expand its partnership matrix to 15,000 to expand its ecosystem. SaveIN counts several national and regional healthcare players among its partners, including VLCC, Kolors, toothsi, Orthosquare, Partha Dental, Berkowits and Madhavbaug, the company said.
New Delhi: Healthcare fintech startup SaveIN plans to expand its partnership matrix to 15,000 to expand its ecosystem. SaveIN counts several national and regional healthcare players among its partners, including VLCC, Kolors, toothsi, Orthosquare, Partha Dental, Berkowits and Madhavbaug, the company said.
The company has thousands of healthcare professionals in its network that help it deliver a hyperlocal healthcare experience. It has built a check-out financing platform for private healthcare providers that allows them to share medical expenses for procedures at instant 0% cost EMI.
The company has thousands of healthcare professionals in its network that help it deliver a hyperlocal healthcare experience. It has built a check-out financing platform for private healthcare providers that allows them to share medical expenses for procedures at instant 0% cost EMI.
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“Healthcare and finance are arguably the biggest opportunities in India over the next decade and we at SaveIN are determined to disrupt age-old practices in the delivery of private care with a goal of enabling Indians to live healthier and better lives “, said Jitin Bhasin, Founder & CEO, SaveIN.
Healthcare personnel who are checked before being on board the SaveIN network.
After assessing over one lakh customer applications with loan values exceeding ₹300 crore, the company has created a unique SaveIN scoring methodology that is used to underwrite healthcare and healthcare-specific customers based on a variety of factors, including demographics, treatment data, location information, practice history, conventional credit bureau data and alternative data.
“We have implemented a machine learning-based model to help our lending partners assess risk while delivering seamless finance. This is unique to us and our internal scoring mechanism behaves much better in predicting risk compared to just conventional credit agency-based underwriting. The more customers we cover, the smarter our risk decision capabilities become. That’s an area of tremendous focus for us right from day one,” Bhasin said.
