Top 10 AI Apps Disrupting the Finance and Banking Industry

by Choose Press

1. Kensho

Use Case: Financial Analytics & Market Intelligence
Kensho provides real-time analytics and predictive modeling for investment banking, enabling firms to make informed decisions with massive datasets. It’s used by major financial institutions, including Goldman Sachs.


2. Upstart

Use Case: AI-Based Lending Platform
Upstart leverages AI to assess creditworthiness based on alternative data points, helping reduce default rates and enabling fairer lending practices beyond traditional credit scores.


3. Zest AI

Use Case: Credit Risk Assessment
Zest AI helps lenders make more accurate credit decisions using machine learning. It improves loan performance and expands credit access to underserved markets.


4. Kasisto

Use Case: Conversational AI for Banking
Kasisto’s KAI platform powers intelligent virtual assistants and chatbots that provide personalized customer service, automate routine banking inquiries, and improve engagement.


5. Darktrace

Use Case: Cybersecurity in Financial Systems
Darktrace uses AI to detect and respond to cyber threats in real time. Financial institutions rely on its autonomous threat response to protect sensitive financial data and transactions.


6. DataRobot

Use Case: Predictive Analytics & Risk Modeling
DataRobot empowers banks and financial analysts to build and deploy machine learning models quickly. It supports applications in fraud detection, churn prediction, and portfolio optimization.


7. Thought Machine

Use Case: Core Banking Infrastructure
Thought Machine’s Vault is a cloud-native core banking platform that uses AI to offer dynamic, personalized financial products and streamline back-end operations for banks.


8. Ayasdi

Use Case: Anti-Money Laundering (AML) & Compliance
Ayasdi, now part of SymphonyAI, helps institutions identify suspicious behaviors and comply with complex AML regulations using AI-powered anomaly detection.


9. Feedzai

Use Case: Fraud Prevention
Feedzai uses AI to monitor transactions in real time, flagging suspicious activity and preventing fraud across banking, payments, and ecommerce.


10. Personetics

Use Case: Personalized Banking Experiences
Personetics uses AI to analyze customers’ financial behavior and provide proactive, personalized insights and money management tips, enhancing digital banking experiences.