Automated Underwriting for Brokers

Win more business

Utilize data to scientifically expand your client base

Funding recommendations

Confidently advise clients to self-fund or remain fully insured

Renew with confidence

Accurately forecast client outcomes

Get started with Capture for Broker!

No hassle, no contracts.

I’m a broker with 30+ agents

“If you are looking to place small groups with limited to no claims, Verikai isn’t just a solution…it is the only solution.”

Scotty Campbell, SVP Stealth Partner Group

“Verikai is an incredible partner in supporting Health Rosetta’s goal of helping employers decrease their benefits spend, while improving the quality of benefits and care. Health Rosetta Advisors, on our infrastructure, receive the insight needed to drive the appropriate rate and funding recommendations for every client.”

Sean Schantzen, Co-Founder Health Rosetta

“We chose to partner with Verikai as it is a truly innovative product. Their organization aligns with our core mission of developing innovative cloud-based technology solutions that drive process improvements and economic efficiencies.”

Jon Harts, CRO Ringmaster Technologies

“Verikai is changing the industry by empowering brokers to identify employers that are good candidates for self-funding without the hassle of Individual Medical Questionnaires. Virtue Health Alliance has utilized Verikai to grow our Consortium with greater risk management and preferred underwriting vs the old days.”

John Sbrocco, Principal Virtue Health

Frequently Asked Questions

What information do I need to include to receive a report?

All we need is a standard census. Please include the following for all employees and dependents (if available): First Name, Last Name, Date of Birth, Gender, and Zip Code. The following fields are optional but will help increase the match rate: Street Address, City, State, Phone Number. Please be mindful of the required format.

How accurately does Verikai match?

If you include the five required census fields, our average match rate is between 80-85%. If you include the additional fields (with street address being the most important), our average match rate increases to 90-95%. Street address also allows us to pull in household data, which will help provide insight on dependents.

What do I receive within the output report?

For each census that you upload, our platform will provide a prediction on whether or not the group will be able to obtain a stop loss quote based on the expected claims outcome of the group. This prediction is based on the unique risk of each individual within a group (from our database of 1.3T data points) and the insights that we’ve gathered from thousands of groups across our carrier partners. Additionally, you will have the opportunity to send the census to our carrier/MGU partners to receive a quote.

Where does your data come from?

Our database of 5,000+ behavioral attributes on more than 250M individuals is sourced from data that can be broken into three categories:

“Opt-in” Data which includes demographic, geographic, social, econometric, purchasing, financial, and credit.
Clinical and Rx Data which includes medical providers, pharmaceutical companies, hospitals, clinical registries, and disease associations.
First-Dollar Claims Data which includes 25 million unique individual claimants across Group Health, Voluntary Benefits, Life, and Property and Casualty.

Are you using Claims or Rx data to make risk predictions?

Our database is made up of over a trillion data points, consisting of: behavioral, financial, demographic, geographic, clinical, Rx, and first-dollar claims. We take all of these pieces of data and project a scored understanding of risk indexed to the manual on over 250M people across the U.S. by utilizing our proprietary machine learning modeling.