Pinpoint: Predictive Analytics for P&C Insurance
Pinpoint helps P&C insurance carriers identify risk and predict loss outcomes. It is designed for teams that need to align pricing with risk and support claims handling workflows.
At a glance
- Category
- Finance & Accounting
- Best for
- P&C Insurance Carriers, Insurance Actuaries, Insurance Underwriting Managers, Insurance Claims Operations Leads
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Underwriting Risk Assessment, Precision Pricing, Claims Optimization, Marketing Lead Prioritization, Book Acquisition Strategy
- Official website
- pinpoint.ai
Pinpoint is a predictive analytics platform built for the property and casualty (P&C) insurance industry. It uses deep-learning models to provide risk scores and loss predictions that can be integrated into insurance workflows.
The software supports functions across marketing, underwriting, ratemaking, and claims management. By providing signals based on name and address, the tool is intended to help carriers make decisions regarding lead acquisition and risk selection.
The platform features actuary-built models and emphasizes regulatory compliance. The company is SOC 2 Type II certified and compliant with CCPA privacy regulations.
Buyers should confirm if specific state-approved models align with their operational regions, as evidence mentions approvals in Wisconsin, Illinois, Louisiana, and Mississippi.
Key Features
Uses deep-learning to predict loss outcomes for auto and homeowners insurance lines.
Provides scores to identify the likelihood of litigation, fraud, and attorney representation.
Supports the deployment of predictive models into existing core systems via API or batch processing.
Models are developed by actuaries and independently validated to support regulatory compliance.
Allows carriers to design and test custom predictive models for defined binary outcomes.
The platform is SOC 2 Type II certified and CCPA compliant.
Use Cases
Using models to support eligibility screening and prioritize inspections.
Supporting ratemaking by aligning policy rates with predicted risk and maintaining regulatory filings.
Identifying high-impact risks such as litigation propensity or fraud to inform claims handling.
Predicting the profitability and conversion potential of leads to focus acquisition spend.
Generating loss predictions for new books of business before the customer journey begins.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is designed for property and casualty (P&C) insurance carriers to support risk selection and loss ratio management.
Not always. Certain models, such as Attorney Rep Propensity and specific loss predictions, may provide value without historical outcomes.
Predictive scores and insights are delivered via configurable APIs or batch processing to connect with existing core systems.
Source category: Finance & Accounting
Source subcategory: Analytics & Reporting
