About Pinpoint
See how our team is equipped to boost your ROI
Our Mission
At Pinpoint Predictive, we work hard to prepare the insurance industry for a more equitable, profitable, and efficient future. The heart and soul of our work is creating a world where predictions and technology are used to steward a more inclusive and economically stable society. And all of our values reflect this vision.
Meet the Pinpoint Team
Team Members
- Scott Ham - CEO
- Avi Tuschman - Founder & CIO
- Tony J. Winter - Chief Technology Officer
- Shannon Shallcross - Strategic Advisor
- Parker Beauchamp - Board of Directors
- Devyn McNicholl - Head of Actuarial
- Trevor Giroux - Head of Client Services
- Wei Hsu - VP of Engineering
- Evan Zamir - VP of Data Science
- Kevin Christ - Controller
- Briana Steinhorst - VP of Sales
- David Gritz - Board of Directors
- Zach Lynch - Board of Directors
- Martin Ellingsworth - Strategic Advisor
- Bryan Falchuk - Strategic Advisor
- Nick Gerhart - Board of Directors
- Gilad Shai - Strategic Advisor
- Carl Eberle - Sr. Full Stack Engineer
- Daniel Wyatt - Sr. Full Stack Engineer
- Andres Jejen - Data Engineer
- Ilya Rahkovsky - Senior Machine Learning Specialist
- Wes Jacobs - VP of Sales
What Our Team Provides
Trusted Leadership
Backed by visionary VCs, advisors, and industry partners for fair growth
Better Decisions
Automated predictions enable better risk choices for profitable growth
Inclusive Innovation
Shaping a more equitable, efficient insurance future through technology
Latest Press
Auto Case Study: Loss Cost Model to Optimize Marketing Spend
Pinpoint helped reduce Loss Ratio by 4 points on personal auto Client: National Auto Carrier Line of Business: Auto Insurance Number of Policies: 714,577 Average Premium: $2,495 Use Case Focus: Customer Acquisition Challenges for Auto Insurers: The combined ratio for personal auto has worsened from 92.5% in 2020 (the best result in 25 years) to
Auto Case Study: Claims Severity Predictions
Pinpoint helped reduce Loss Ratio by 3 points with Claims Severity Predictions Client: National Auto Carrier Line of Business: Auto Insurance Number of Policies: 714,577 Average Premium: $2,495 Challenge for Auto Insurer: A national auto insurance carrier looked to augment their modeling and solve the problem of balancing business against increasing claim payouts, increasing costs
Auto Case Study: Litigation Risk Scores
Pinpoint Helped Identify an Additional 6% of Claimants Likely to Seek Attorney Representation Client: National Auto Insurance Insurer Line of Business: Auto Insurance Model Trained: 130,000 Claimants Use Case Focus: Claims and Litigation
Home Case Study: Claims Frequency Prediction to Optimize Growth
Pinpoint helped reduce Loss Ratio by 3 points to optimize profitable growth Client: National Home Insurance Carrier Line of Business: Home Insurance Number of Policies: ~300,000 Average Individual Premium: $2,900
Home Case Study: Loss Cost Prediction to Reduce Non-Weather Water Losses
Pinpoint helped reduce Loss Ratio by 4 points during pre-application Client: National Home Insurance Carrier Line of Business: Home Insurance Number of Policies: ~150,000 Average Individual Premium: $1,291