Financial Services

Financial services organizations are at the very forefront of the AI revolution, leveraging troves of proprietary data to build and train powerful AI models

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On-Premise Deployments

Run Modzy on your infrastructure and ensure compliance with your security policies.

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Military-Grade Security

Keep your AI models and predictions robust through a solution architected for the most stringent security controls.

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Manage AI Cost & Risks

Centralize AI management to ensure governance, improve collaboration, and track performance and costs.

AI Power for financial services

AI will transform financial services by reducing costs, increasing revenue, and improving risk profiles. Modzy provides a secure way to leverage via a shared, governed platform that brings timely and meaningful insights directly to analysts and decision-makers.

Improved Customer Experience

  • Investment management
  • Deposits & lending
  • Personalized recommendations

Differentiated Services

  • Forecasting & analysis
  • Portfolio structuring
  • Alternative investments

Fraud & Risk Management

  • Real-time monitoring
  • Anomaly detection
  • Know your customer
NEW Read what the experts say about Modzy. Download the latest reports from Gartner and Forrester.

Modzy powers AI transformation for financial services

Customers love options. To attract new customers in a competitive market, retailbanks use AI to offer differentiated services and personalized experiences. With hundreds of modelsin production across a variety of application, banks need a safe, reliable way to manage all thesemodels.

As one of the most data intensive segments in financial services, AI promises acompetitive advantage. Not only can it expedite time intensive operations, it can providedifferentiated insights across a myriad of markets. With increasing adoptions, firms need a secure,centralized, and easy way to manage models across applications.

Moving fast and providing alternative options are the name of the game for FinTechcompanies. AI is central to achieving these goals. To ensure differentiation, drive efficiencies andoptimize results, FinTech companies must centralize model management and reduce risk.

  • Modzy software is very intuitive and well designed, which has made it incredibly easy to work with and integrate with what I've worked on. It's a no-brainer decision for me.
    –Ben Adamsky
    Developer
  • Their ease of integration is great. We also like the ability to run different models with a simple integration.
    –Dorian Earl
    Salesforce Developer
  • Highly satisfied with the scalability and ease of use of the machine learning APIs. The documentation was concise, easy to use, and understand. Installation in ArcGIS took less than a minute and the performance was very fast with results instantly displayed on the map window.
    –Abdul Syed
    Geospatial Developer
  • Modzy's SDK was very simple to work with and it made integrating their ML capabilities into my Web app very easy. Working with the platform is a pleasure!
    –Anthony Rodriguez
    Software and Data Engineer
  • Hugely satisfied with Modzy to manage my team's machine learning inferences and auditing
    –Richard L.
    Technical Director, Revenue Recognition
  • Scaled way up!  Seriously, we had so many jobs to process on expensive GPUs, and Modzy helped us optimize the workloads and even recognize which models could run on CPUs to save money.
    –Adam B.
    Lead ML Engineer

AI for financial services - Modzy value by stakeholder



Business Executives

Track the Return on AI investments.

By centralizing management of AI programs across your organization, you'll easily be able to measure and monitor the impact of AI on your bottom line.

Chief Information Officers

Faster time to results with AI.

By centralizing model management and establishing governance, you can establish control over costs and risks with AI, and better monitor progress.

Chief Data Scientists

Optimize the productivity of your data science teams.

By reducing the time to deploy models in production and automating model management, teams can spend more time on true data science work.

Chief Information Security Officers

Keep your AI power secure.

Military-grade application security, and cutting edge adversarial defense to keep models robust.

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