AI that powers higher profits and efficiencies.

Fight fraud, lower false-positives, and eliminate fraudulent claims.

Fight fraud, lower false-positives, eliminate fraudulent claims, and streamline operations.

INSURANCE SOLUTIONS

Daisy’s AI-powered risk management platform delivers better results than traditional business rules, predictive analytics, and external tips. We generate business recommendatoins based on all your claims and underwriting data.

The Daisy Promise.

Easier, Faster Fraud Detection

Discover fraudulent activity and reduce false-positive rates, saving millions of dollars in claims payments and driving operational efficiencies.

Predictive
Underwriting

Better insight into underwriting processes lowers operating costs, delivers more accurate pricing, and improves customer experiences.

Higher SIU and Auditor Efficiencies

Analyze 100% of your data and make claims investigations quicker and more successful. Your people can do more in less time by focusing on the right files.

LEARN MORE HOW A.I. CAN HELP INSURANCE COMPANIES SAVE MILLIONS OF DOLLARS BY DETECTING FRAUD FASTER AND EASIER.

What we deliver:

FRAUD
DETECTION

How can you reduce the rate of false positive claims?

By analyzing 100% of your data, we can quickly detect and put the spotlight on potential fraud, saving you millions of dollars in claims payments while driving ROI.

A.I-BASED
underwriting

How can you manage your desired loss ratio?

Our technology identifies potential customers with more risk than others to drive improvements in risk management.

The Daisy Intelligence Process

Our approach is based on the branch of AI called reinforcement learning. This can simply be defined as learning best actions based on trial and error and interactions with an environment to achieve a goal. At Daisy, we do this by running millions of simulations to mitigate any risk in the real world.

How Daisy
Works

1

INGEST

Provide us with at least two years of claims data and related dimensions.

3

ANALYZE

Daisy’s Theory of Risk™ finds the relationships between claims, people and networks. This includes known and unknown fraud, including an analysis of social networks.

2

SIMULATE

Utilize multiple detection methodologies to identify and prioritize risk, reducing false-positive rates and making your investigators more successful.

4

DELIVER

Identify the risks associated with transactions in a secured web portal. Alerts are auto-generated, making it easier and faster to make the right decisions.

5

MEASURE

Measure false positive rate and surveillance recoveries.

DAISY’S THEORY OF RISK: OUR PROPRIETARY APPROACH HELPS YOU PROPERLY IDENTIFY RISK BY MEASURING THE CAUSAL RELATIONSHIPS BETWEEN ALL FACTORS AND THE RIPPLE EFFECTS THAT IMPACT A BUSINESS DECISION.

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