Commercial underwriting powered by data science.

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Underwrite in near real-time

Reduce application questions by up to 74%

Used by Nationals, Regionals and MGAs

What's new

Insurance CIO Outlook


How Underwriting will Change with Machine Learning

Mary Kotch, CIO, and Marie-Christine Razaire, Underwriter, Validus Reinsurance detail underwriting changes coming from machine learning.


Blog Post

To Our Customers, Thank You

Kuldeep reflects on progress within Insurtech in 2018, including increasing insurer agility and the importance of trust in any longterm partnership.


Case Study

The Need for Speed

Commercial Carrier Collaborates with DataCubes to Rapidly Expand into New States

Improve underwriting agility, productivity and quality.

Virtually eliminate submission paperwork

Gain business insights from third party data

Prefill application and underwriting questions

Select and prioritize risks based on a score

Optimize your results

Many commercial underwriters spend up to 60% of their time on admin work, including manually entering application documents and gathering data from up to 80 external data sources to evaluate each incoming risk. This is a drain on both a carrier’s resources and the level of customer experience they are able to provide to agents, prospects and insureds. In today’s technology-rich society, customers expect fast, accurate service that enables them to get what they need and move on with their business.

Using DataCubes, commercial insurers are able to virtually eliminate admin work and empower their underwriters with tools to help them deliver incredible results.

Improve underwriting productivity by up to 10x

Reduce loss ratio by up to one point

Provide world-class customer experiences

Learn How