Veritone AI for Financial Services

Use Cases

• Investment Research

  Simplify investment research and associated processes for market participants.

• Investment Banking

  Leverage machine learning models to make algorithms and predictions more accurate. This will help you more easily research recommendations, stay on top of regulatory due diligence, and monitor trade and communications. 

• Financial Markets

  Reduce middle and back-office costs related to process failures and error corrections while at the same time improving pricing and capturing the best opportunities. Optimize trade execution and routing, and match opportunities to potential investors. 

• Automate Manual Work

  Automate mundane, repetitive tasks, and manual work. Accelerate customer onboarding and satisfaction, reducing the time necessary to approve an application while increasing accuracy by avoiding human error.

• Customer Experience

  Drive better financial results with customized investment recommendations based on the analysis of comprehensive, relevant customer data, including the customer’s personal information and behavioral data in and outside of the financial organization.

• Fraud Detection

  Train large amounts of data – both static customer information and dynamic transaction data – to recognize suspicious behaviors and patterns to assess new transactions with known patterns.

• Customer Satisfaction

  Measure customer satisfaction across any channel through AI-powered sentiment and personality analysis. Let our AI models comb through customer reviews on social media, invoice records, and even videos and media.

• Regulatory Compliance, Risk & Governance

  Manage risk and regulatory challenges and gain insight to comply with evolving regulatory requirements across the organization. This AI-driven solution helps improve your core services and functional components of business continuity management, operational risk, and regulatory compliance.