AperiData is a real-time credit reference agency that utilizes Open Banking data and AI-driven analytics to enhance credit decisioning and customer onboarding processes. By providing accurate financial insights, the platform enables organizations to make informed lending decisions and proactively manage customer financial behaviors.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional credit scoring models often rely on static data and infrequent updates, leading to inaccurate risk assessments and hindering access to credit for individuals with limited credit history or non-traditional financial profiles. This can result in missed opportunities for lenders and unfair outcomes for borrowers.
Solution
AperiData leverages Open Banking data and AI-driven analytics to provide real-time credit risk assessments. The platform aggregates consented customer financial data, including transaction history, account balances, and liabilities, to generate a comprehensive and up-to-date view of their financial behavior. By analyzing this data, AperiData offers insights into income verification, expenditure patterns, and potential risk indicators, enabling lenders to make more informed and accurate credit decisions. This approach facilitates streamlined customer onboarding, improved risk management, and fairer access to financial products.
Target Audience
AperiData's primary customers are financial institutions, lenders, and credit providers seeking to improve their credit decisioning processes, streamline customer onboarding, and proactively manage risk. The platform also caters to debt advice agencies needing a comprehensive view of a customer's financial situation.
Features
- Real-time access to customer account data via Open Banking APIs
- AI-powered income verification and expenditure analysis
- Identification of potential risk factors and financial irregularities
- Aggregated customer-level and individual account-level transaction data
- Proprietary risk insights to enhance internal risk models
- Monitoring of customer financial behaviors for pre-delinquency detection
- KYC and identity verification through linked bank accounts