
Improve access to loans against property and boost debt collections minus human intervention with unique API-based systems. Lentra’s API-powered platforms offer a seamless, customer-friendly loan journey from onboarding to collection with tried and tested products that circumvent the most basic bumps in availing and repaying loans against property.
Vendor
Lentra
Company Website
Help borrowers monetise assets instantly
Future-ready lending journeys for superior customer experience
Improve access to loans against property and boost debt collections minus human intervention with unique API-based systems. Lentra’s API-powered platforms offer a seamless, customer-friendly loan journey from onboarding to collection with tried and tested products that circumvent the most basic bumps in availing and repaying loans against property. Our focus is on an integrated, user-friendly interface and improved client satisfaction. Bring the future of lending to your fingertips, only with Lentra.
Seamless, integrated functionalities
Multiple property type
Lending against any kind of real estate,land and property options
Multiple collaterals
Easy onboarding of numerous properties as collateral for a single client
Property apportionment
Customized distribution of collateral between multiple properties
CERSAI compliant
Prevent fraudulent activity that could hit your bottom line
Empanelled valuers
Quick access to accredited lawyers and valuers for property verification
Multiple functionalities
Instantaneously trigger verification and valuation as frequently as needed
Built-in efficiency for enhanced output
Integrate Lentra products into your platforms to remove blind spots, reduce errors and make mortgage lending smooth and stress-free. Our highly specialized products emphasize a seamless journey for loans against property to offer easy customer origination and cutting-edge loan management. More than 250+ built-in API integrations create an intricate web of vital data transfer that enhances a whole range of microservices from fraud check and field investigation to deviation management and instance-based intimation