Deploy Artificial Intelligence, Deep & Machine Learning Algorithms to improve access to credit at moderate interest rates
Rationalize high interest & enhance transparency – build Financial Inclusion
Builds predictive & qualitative credit & e-KYC models
Hyderabad, November 30, 2016: Hyderabad-based www.i-lend.in; one of the best performing company in the nascent Peer 2 Peer (P2P) / Alternate Finance and UK-based Cove Venture, a leading Big Data solutions provider entered into a strategic agreement.
Under this strategic agreement, both firms will apply Artificial Intelligence, Deep and Machine Learning algorithms in the Indian Alternate Finance & P2P Lending industry to ensure more people in urban and rural India get access to credit at moderate interest. The Indian Alternate Finance & P2P Lending industry expected to grow to over $ 20 B USD business in the next few years and the sector is experiencing rapid growth presently.
The models will help improve the predictability by analyzing online, social and financial behaviour thereby enabling I-lend with significant accuracy. This predictability will help in pricing loans, opening up new segments and deliver better financial performance. Getting exclusive access to i-lend data helps Cove Ventures build cutting edge solutions across the fast growing finance eco-system in India.
Speaking on the occasion Mr. Shankar Vaddadyi, Founder - i-lend.in said “This tie up will help building predictive, qualitative credit and e-KYC models along with our existing algorithms. It also enables us to better address financial inclusion in the urban space and bring a higher degree of transparency into loaning and lending operations & rationalise high interest rates being charged.”
Commenting on the agreement Mr. Madhava Turumella, Founder & CEO, Cove Venture said “This partnership will improve our footprint in India and help us get excellent traction in the fast growing Indian financial space both from a conventional and new wave companies like I-lend. Exclusivity is critical because of the nature of the technologies and data involved and confident that these models will give a flip to the demonetization.”