Turbocharge Hyper-Personalization and Omnichannel Experiences

Personalize customer interactions and offers

Customers expect a personalized experience across all channels - digital and human. The key to getting it right is data science. In order to optimize the experience at every moment, you have to deploy models at scale and continually monitor their performance. Only then can you maximize the impact on the bottom line.

Domino’s Enterprise MLOps platform makes it easy for the world’s largest insurers to personalize customer interactions and offers to build better relationships and drive profitability through:

  • Personalized products
  • Enhanced customer experience
  • Product innovation and ideation
  • Cross-channel sales and marketing efforts
  • Chatbots to handle intake processes or common questions
Read the Whitepaper

Why Domino for monetization and productization of data, insights, and models

Streamlined access to data

Easy access to data without compromising security and governance

With Domino, you can easily work with and share data while complying with IT protocols, data security, and governance policies.


  • Centrally establish connections to data wherever it lives.
  • Share data across teams without making copies.
  • Provide data context and metadata in a unified manner within and across departments or LOBs.
  • Maintain strict governance and control over sensitive data.
  • Effectively manage data with integrated version control.
  • Integrate with established company SSO and LDAP solutions.

High-impact models and analysis

Innovate and expand across every line of business to improve competitiveness

Domino helps you increase the volume and effectiveness of the models and analysis supporting every line of business to get to market with new products, services, and offers.


  • Data scientists and analysts easily collaborate to develop a high volume of high-quality models.
  • Innovate with the latest open-source algorithms for deep learning and other advanced AI and machine learning techniques.
  • Attract and retain talent, and upskill teams more effectively with an environment as familiar as their local laptop.
  • One-click access to powerful machines with the most popular distributed frameworks, including Spark, Ray, and Dask, and GPUs, accelerates training workloads.

Reproducible analysis and models

Easily reproduce and validate work, improving productivity

Domino lets data scientists and model validators instantly recreate the environment used to build a model or analysis.


  • Easily validate model results prior to deployment.
  • Reproduce any model with just a few clicks, regardless of the language used to create it.
  • Improve data scientist and analyst productivity by automating the capture of all model assets.

Increased model velocity

Streamline and standardize data science processes while mitigating risks

With Domino, data scientists can develop, deploy, monitor, and manage models – all from a single platform. Models get into production faster with consistent deployment practices to rapidly respond to business needs, increase impact, and mitigate risks.


  • Get models into production faster with consistent model deployment best practices and processes.
  • Monitor models for data drift, quality, and other critical health statistics
  • Iterate quickly (and often) to maintain high-performing production models to mitigate risks and losses.
  • Integrate with Git and Jira to include data science into broader enterprise project processes.

Case Study

Creating empathy with millions of customers around the world

Streamlined workflows that cut model development times from days to hours and improved collaboration among its data scientists help this Fortune 500 financial services leader enhance call center training to improve customer communications.

Recommended resources

Analyst Report

542% ROI with Domino

Without Domino, getting a model into production was quite an involved process; let’s say that took us maybe four weeks after talking to everyone. Now it’s down to maybe a one-week process.

Principal Consultant, Large Financial Service Organization

Read the Forrester TEI Report

Case study

Giving homeowners answers about insurance coverage in seconds

Topdanmark, a large European insurance company, is infusing data science across its operations to provide consumers with a better, faster insurance experience.

The company's model-driven workflows, built and deployed on the Domino Enterprise MLOps platform, have automated 65 percent of cases for approving new coverage and processing claims. Customers can now learn whether they have coverage in one to two seconds versus four days.

Read the case study

Case study

Revolutionizing the pet medical insurance industry by processing claims in seconds

Trupanion is revolutionizing the pet medical health insurance industry, automating more than 75,000 claims with only a few expert data scientists, revolutionizing the customer experience along the way.

Read the case study

See why leading ratings agencies and banks run on Domino