Sauvant AI provides machine learning solutions tailored for Non-Banking Financial Companies (NBFCs) to enhance fraud detection and risk management in loan applications. Their AURORA model identifies fraudulent or high-risk applications, resulting in a measurable 40% increase in processing efficiency for clients handling 1,000 loan applications per month.
Funding
Funding not disclosed
Founders
Product
Problem
Non-Banking Financial Companies (NBFCs) face challenges in efficiently detecting fraudulent loan applications, leading to increased risk and potential financial losses. Traditional fraud detection methods often lack the sophistication to identify increasingly complex fraud schemes. This can result in slower processing times and higher operational costs for NBFCs.
Solution
Sauvant AI provides machine learning-based solutions designed to enhance fraud detection and risk management for NBFCs. Their AURORA model identifies fraudulent or high-risk loan applications, improving processing efficiency and reducing potential losses. The company offers a suite of products including CUBE for credit underwriting, ABSTRACT for bank statement analysis, MIRAGE for identity verification, and PROVE for online presence evaluation. These tools leverage AI to automate and improve various aspects of the lending process, from initial inquiry to final approval.
Target Audience
The primary target audience consists of RBI Registered Non-Banking Financial Companies (NBFCs) in India.
Features
- AURORA: ML model for identifying fraudulent or high-risk loan applications
- CUBE: Credit Underwriting for Business Evaluation using ML
- ABSTRACT: Analyzer for Bank Statements Transactions & Reports using AI Computing Techniques
- MIRAGE: Machine Intelligence for Recognition and Authentication in Government Entities, providing video and picture verification
- PROVE: Profiling and Reporting Online Visibility and Evaluation, checking online presence and public records
- 99.9% server uptime
- ISO 27001 Certified
- Generative & Analytical AI