
Pinpoint Predictive

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About
Pinpoint Predictive is an AI-powered risk selection platform that helps P&C insurers improve loss ratios by using individual behavioral predictors and advanced AI. It offers loss predictions and risk scores for homeowners and personal auto insurance, enabling carriers to quantify and assess risk on a person-by-person basis. Pinpoint's platform aims to provide a more equitable, profitable, and efficient future for the insurance industry. It also helps predict claims frequency, claims severity, and loss cost, as well as the likelihood of litigation, SIU referral, cancellation, and premium leakage.
Platform
Task
Features
• roi calculator
• privacy
• risk scores
• insurance regulation
• information security
• ai fairness
• individual behavioral predictors
• loss predictions
FAQs
Who is using Pinpoint Predictive?
Property and casualty insurance carriers, including those in the top 10 for home, auto, and small business categories, are looking to improve their risk scores and profitability with Pinpoint’s behavioral data predictions.
Why are top insurers making Pinpoint Predictive a strategic investment?
Pinpoint provides fastest and greatest time-to-value in the P&C ecosystem Able to materially impact combined ratios and drive profitability Informs intelligent growth strategies based on predictive power of Pinpoint
Where in the customer journey/buying journey can Pinpoint Predictive scores be used?
At the beginning of the customer journey Before underwriting and rating decisions
What data does Pinpoint Predictive use?
Proprietary behavioral economics data Behavioral footprint data based on years of custom supply-chain development and exhaustive legal and bias reviews Compliant and ethical AI data. For more information, visit our Compliance page.
What data does Pinpoint Predictive not use?
Individual credit scores Zip codes Race Biometrics For more information, visit our Compliance page.
What is behavioral economics?
In the most basic terms, “behavioral economics” is a consumer analysis method. It applies psychology to human behavior and links those behaviors to decision-making.
What is explainable AI?
Explainable AI visualizes the unique signals that characterize sets of people whose actions are critical to your business.
Why do you call it a proof of value, not proof of concept? What is the difference?
A Proof of Concept (POC) is typically used to answer the question “can this be done?”, while Proof of Value (POV) is used to answer “What is the value of doing this?”
What is the process to get started and how long does it take?
The Proof of Value (POV) process is simple and requires only a few hours of client work.
How do I get access to the OnPoint Platform?
If you are a current Pinpoint Predictive client, click here to login to OnPoint. We also have a button at the top of our website labeled, “Client Login”.
How does Pinpoint Predictive safeguard information privacy?
Our patent-pending modeling method generates individual-level behavioral-economic models with complete user pseudonymization.
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