About BankAnalyze
BankAnalyze is a cash flow analysis software from Lokyata that explores cash flow analysis by efficiently categorizing transactions and using reliable data analysis to improve decision-making. It combines AI-driven cash flow analysis, modeling borrower risk, and fraud detection so users can make informed lending decisions. This platform helps lenders quickly assess the financial health of borrowers through precise transaction categorization and risk modeling. Additionally, it supports effective identification of potential fraud patterns using its FraudBlock feature. Key capabilities: cash flow analysis borrower risk modeling fraud detection transaction categorization data analytics Best for: lenders that need comprehensive insights into borrower cash flow and risk assessment.
BankAnalyze Details
BankAnalyze's In-App Market Place
Does BankAnalyze have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (CA$), CHF (CHF), CNY (CN¥), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$), NOK (kr), MXN (Mex$), INR (₹)
Pros & Cons
- AI-driven cash-flow analysis automatically categorises income and debt from bank statements.
- Allows modelling of borrower risk using machine-learning and transparent rule-explanations.
- Connects to 16,000+ financial institutions via a bank-login widget, improving data reach.
- Drag-and-drop “if/then” decision flows enable no-code business-rule creation.
- Generates a rich set of KPIs (160+), scores, and behavioral metrics for underwriting.
- Embedded fraud-detection integration (when paired with Lokyata’s FraudBlock) enhances credit risk control.
- Proven in auto-finance: used by XpressCredit to support auto-loan decisioning.
- Requires borrower-permissioned access to bank accounts, which may reduce adoption.
- Decision-automation relies on quality of transaction categorisation; errors may affect outcomes.
- Integrating with loan-origination systems may require API configuration and setup.
- High-volume or manual rules-creation may demand significant internal setup effort.
- Some markets or regulators may challenge use of automated bank-statement analysis in underwriting.