Amount Invested
10 crores +
Average IRR
No. of Investors

Recent Deals

Why Lend Partnerz?

Less Lock-in Period
High Returns, Low Risk
New Asset Class

How it Works?

Upload invoice to raise the required funds.
Validate the credibility of the Invoices.
Bid on the most lucrative Invoice based on the discount offered.
Pay full invoice amount. Investors receive handsome returns.

Listed Brands

Diversify your investment portfolio and get the profits that you deserve by investing in less lock in period !

Investor Reviews


Use of Artificial Intelligence in Finance Industry

Newer algorithms can multivariate, with the ability to mine, structure, weigh, and use rich data. In this era of digitalization our generation is facing clashes between their digital expectations & old traditions. Traditional banking has evolved itself from branch model to digital model. But there are still some things to be taken care of for easier banking ways. This gap can be concealed with the use of Artificial Intelligence.

About Lend Partnerz

Taking in consideration the above questions and solving the mentioned problems we at Lend Partnerz have developed a platform where we are trying to solve the issue of credit availability faced by the SMEs/ MSMEs by using AI & ML technology. SMEs/MSMEs may face major cash crunch because of credit period allowed by them to their customers. Lend Partnerz is trying to solve this problem by raising funds from investors to fulfil needs of these SMEs. Our credit facility doesn’t have any collateral requirements and need minimum documents. SMEs are supposed to use these funds until their invoice is cleared by their customer. In return investors get lucrative returns over money invested by them. To produce a very detailed risk model, we have eliminated the risk profile questionnaire as part of investment process. We are trying to evaluate financials & related documents required to calculate risk for approving credit facility using AI & ML technology. For on boarding online, machine is going to take every possible effort to precisely identify the identity of the customer.