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
Scott Ham
CEO
Avi Tuschman
Founder & CIO
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
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
Investors
Pinpoint Partners
From Our Partners
Michael Lorion
CEO
“Pinpoint’s explainable visualizations reveal what drives human behavior, and also the interesting reasons why conventional data have missed the signal on this important issue. We see this as an important step forward in predicting behavior and ultimately reducing frictional costs and premiums.”
Vern Kirchhoff
SVP of Data Analytics
“Pinpoint’s automated platform unlocked 7 points of Loss Ratio improvement for our homeowners book for a 1-year implementation and, over the longer term, a larger bottom-line benefit as more of the book takes on the selected risk contours. The new signal we validated represents one of the largest boosts in predictive performance I’ve seen in the industry in 30 years.”
Michael Pauletti
Senior VP & Chief Pricing and Actuarial Officer
“Pinpoint’s deep-learning platform allowed us to predict non-cat homeowners’ losses at the beginning of the customer journey for the first time. Moreover, this score adds a remarkable new incremental lift above and beyond our rating model; it’s one of the most predictive factors we’ve seen.”
Analytics Team
“Pinpoint has provided game-changing new data to drive markedly improved loss ratios through better risk selection and claims handling.”
Rick Carter
Vice President, Analytics
“Above and beyond our latest pricing models, Pinpoint’s scores show material predictive lift for personal auto pure premiums. These are impressive results relative to other emerging vendor data offerings.”
Chad Combs
VP of Personal Lines, Underwriting
“Pinpoint provided significant predictive advancement in the identification of a highly important loss exposure. This enables Ohio Mutual to better identify premium leakage and loss mitigation opportunities in our Homeowners book.”
Chris Strohl
Vice President, Underwriting
“We’re excited to partner with Pinpoint as we look at the opportunity to get deeper insights into our customers and understand risks based on individual behaviors. Pinpoint’s deep learning capabilities are a game changer for us to better serve our customers and agents.”
Alice Robinson
Chief Actuary
“After just a few weeks of evaluating Pinpoint’s custom loss scores, we saw a significant improvement in loss ratio, and in predictive performance in our non-pay cancel model. In addition, the explainability of lift in predictive power yielded valuable insights. The Pinpoint team is helpful, knowledgeable, and easy to work with.”
Greg Godshall
President and CEO
“Pinpoint’s actuarial loss predictions will enable us to orchestrate the best experiences for agents and our customers, reducing friction and creating the ability to micro-segment leads like never before”
From the Pinpoint Team
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 A national insurance carrier partnered with Pinpoint to receive Risk Scores identifying the likelihood of Third-party Claimants to seek Attorney Representation. With [...]
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 A national home insurance carrier partnered with Pinpoint to receive Loss Predictions at the top of the funnel (before the customer journey begins). Their current [...]
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 A national home insurance carrier partnered with Pinpoint to receive Loss Cost Predictions at the top of the funnel (before the customer journey begins). Their current models [...]
Auto Case Study: Loss Cost Prediction to Optimize Growth
Pinpoint helped reduce Loss Ratio by 4.6 points by focusing on Individual Drivers Client: National Auto Carrier Line of Business: Auto Insurance Number of Policies: 80,000 Average Premium: $1,500 Challenges for Auto Insurer: A national auto insurer partnered with Pinpoint on generating Loss Cost predictions to better understand the profitability on individual drivers and identify [...]
Home Case Study: Claims Frequency Predictions for Book Acquisition
Pinpoint helped reduce Loss Ratio by 7 points by focusing on Book Acquisition Strategy Client: National Home Insurance Carrier Line of Business: Home Insurance Number of Policies: 200,000 Average Premium: $2,813 Use Case Focus: Book Roll A national home insurance carrier used Pinpoint's platform to generate Loss Predictions. Their existing models were only available after the [...]
Fast-Track
Profitable Growth
Data Science That Delivers Business Impact
Pinpoint is an AI company purpose-built for insurers. We combine deep actuarial expertise with modern data science to solve real-world problems across underwriting, marketing, and distribution. Our mission is simple: make insurance more precise and more profitable—one model at a time.