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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Finezza (finezza.in) serves as a comprehensive, AI-powered lending intelligence platform tailored specifically for the regulated lending landscape in India, which includes banks, NBFCs, housing finance companies, microfinance institutions, and fintech lenders. This innovative platform oversees the entire loan lifecycle, encompassing digital origination, automated credit underwriting that incorporates both bureau and alternative data, efficient loan management, and AI-supported collections, all through a unified, API-centric interface. Additionally, Finezza features a co-lending module that is meticulously designed in accordance with the RBI's Co-Lending Model (CLM) guidelines, facilitating smooth partnerships between banks and NBFCs by automating fund flow distribution, dual underwriting processes, reconciliation, and compliance reporting. Boasting over 100 pre-built integrations such as CIBIL, Experian, Aadhaar eKYC, GST, ITR, bank statement analysis, and NACH, Finezza enables lenders to make credit decisions in under three seconds while also providing a comprehensive 360° view of borrowers, thus empowering financial institutions to grow more efficiently while maintaining regulatory adherence. This streamlined approach not only enhances operational efficiency but also fosters a more responsive lending environment.

Description

FundMore.ai offers an automated underwriting solution that harnesses machine learning to enhance the pre-funding loan process. Our innovative platform enables you to customize automation, enrich the borrower experience with insightful analytics, minimize risks through AI-driven methods, and accelerate the time it takes to open new accounts. Underwriting loans can be a time-consuming endeavor, often resulting in files that don't yield results, translating to countless hours of wasted effort that could be conserved with automation. By implementing FundMore.ai, you can phase out inefficient spreadsheets, lessen dependence on specific expertise, and cultivate a streamlined underwriting approach that adapts to growth while remaining vigilant about risk. Our system allows for a swift and transparent underwriting process that benefits both lenders and borrowers alike. Additionally, leverage predictive modeling and pattern recognition to enhance your company's risk management capabilities, enabling you to evaluate risk accurately and provide timely justification for decisions. With our solution, you can transform your underwriting practices into a more efficient and effective operation.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Custom
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Finezza

Founded

2019

Country

India

Website

finezza.in

Vendor Details

Company Name

FundMore.ai

Founded

2018

Country

Canada

Website

fundmore.ai/

Product Features

Product Features

Loan Origination

Amortization Schedule No 
Audit Trail No 
Closing Documents No 
Compliance Management No 
Customer Database No 
Digital Signature No 
Document Management No 
Fee Management No 
Loan Processing No 
Online Application No 

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