Overview
Pinpoint Predictive is an AI company purpose-built for property & casualty (P&C) insurance. They combine deep actuarial expertise with modern data science to deliver the earliest and most accurate loss predictions and risk scores, helping P&C insurers fast-track profitable growth by improving loss ratios. With only a name and address, Pinpoint delivers actionable signals for carriers across the insurance lifecycle.
The company was founded by Avi Tuschman, a Stanford StartX entrepreneur and internationally recognized expert in behavioral economics, and is led by CEO Scott Ham. Pinpoint's platform uses deep learning AI leveraging proprietary behavioral economics data and trillions of individual behavioral predictors modeled for 260 million US adults.
Pinpoint has raised $30.4M in total across 7 rounds, with the most recent Series A close of $23M+ in October 2024 led by Markd, with participation from Jazz Venture Partners, Guidewire Ventures, Verstra Ventures, Navigate Ventures, and Seraph Group.
Products & Services
Loss Predictions & Risk Scores
Predicts claims frequency, severity, and loss cost for homeowners and personal auto — both pre-bind and at renewal. Available with just a name and address.
Key Features
- Pre-bind loss prediction
- Renewal risk scoring
- Frequency/severity/loss cost models
- Name-and-address-only input
- Personal auto and homeowners coverage
Target Users: Underwriters, actuaries, risk managers
Marketing Intelligence
Predict profitability, response, and conversion before spending. Data-driven models to optimize campaigns and boost marketing ROI.
Key Features
- Profitability prediction for prospects
- Response and conversion modeling
- Campaign optimization
- Marketing ROI analytics
Target Users: Marketing teams, growth leaders
Claims Management
AI models that flag high-impact risks early — attorney involvement, litigation, fraud, large losses, and cause of loss.
Key Features
- Attorney involvement prediction
- Litigation risk flagging
- Fraud detection signals
- Large loss early warning
- Cause of loss prediction
Target Users: Claims managers, SIU teams
Ratemaking
Actuarial expertise and AI-driven analytics for compliant, competitive, risk-aligned rate setting.
Key Features
- Filed and non-admitted pricing
- IRPM selection optimization
- Compliant rate modeling
- AI-driven rate adequacy analysis
Target Users: Actuaries, pricing teams
Discovery Models
Custom predictive solutions for any two-outcome event (churn, premium leakage, program adoption).
Key Features
- Custom binary classifier models
- Churn prediction
- Premium leakage detection
- Program adoption modeling
Target Users: Data science teams, product managers
At a Glance
- Founded
- 2015
- Headquarters
- San Mateo, California
- Employees
- 11-50
- Funding
- Series A
Category & Focus
- Category
- AI & Analytics
- Subcategories
- Predictive Analytics Risk Selection Underwriting AI
- Insurance Verticals
- P&C Personal P&C Commercial
- Target Customers
- Carriers
Customers
- AmTrust Financial
- CSE Insurance Group
- Glacier Insurance Group
- National General
- Ohio Mutual
- The Philadelphia Contributionship
- True Property Insurance
- Slide
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Last updated: 2026-03-25