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Insurance

AI is the catalyst for analyzing data and automating processes to transform how claims, costs, and customers are managed

Download Overview

Processing

  • Faster application review
  • Offer personalized plans
  • Automated claims processing

Underwriting

  • Accurate forecasting and modeling
  • Improved profitability
  • Better due diligence

Fraud & Loss

  • Real time monitoring
  • Anomaly detection
  • Improve accuracy
new Read what the experts say about Modzy. Download the latest reports from Gartner and Forrester.

Modzy powers AI transformation for insurance





AI is already providing efficiencies by automating back office processes. Insurance companies have only begun to scratch the surface with automation. As AI models become more embedded across applications, organizations need a streamlined way to manage all models.

As products become more commoditized, insurance companies need ways to differentiate. By using AI to exploit insights hidden within proprietary data, companies are offering new products and solutions to drive growth. To track the success of these initiatives, companies must centralize the monitoring of all models to track performance against KPIs.

Customers face no shortage of options. AI helps how insurance companies can engage with customers. To ensure peak customer experience, companies need an easy way to monitor and update models to ensure relations with customers remain optimal.

  • “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 insurance - 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.



ModelOps and MLOps resources from Modzy


IBL News: MIT Sloan CIO Symposium Selects Key Leaders and Features Innovative Start-Ups
May 19, 2022

The Symposium will include the Innovation Showcase, highlighting ten early-stage companies with cutting-edge solutions that combine both value and innovation in Enterprise…



Tech Talk: Drift Detection Algorithms
May 16, 2022

Once you’ve successfully deployed models and are running live inferences in production, you’ll encounter yet another obstacle: monitoring model performance over time….



TechTarget: MIT Sloan innovation startups pursue AI at scale
May 12, 2022

“The objective, AI at scale, has become a rallying point for technologists in the data science field — and a key theme…




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