Our approach doesn't just provide recommendations — we deliver all the way to end-user implementation and take accountability for your real business results.
For over twenty-five years, we have worked with top industry clients who came to us with questions such as:
How can we swiftly and effectively integrate external data sources making efficient use of our time, money, and internal resources?
How can we use data science to increase the productivity of our human resources?
How can we perform test and learn to achieve continuous improvement?
How can we experiment with cutting edge software and technology to accelerate innovation?
Our seasoned data scientists and technology specialists help our clients achieve quick wins and build long-lasting tools for success. We pride ourselves in a hands-on, customized, consultative approach.
We Start With Data
We have 25+ years experience working with just about every kind of data.
We help you develop use cases for your existing data assets and identify any missing data needed to solve your most critical problems. We then help you collect and integrate the data you need through:
- Analytically driven custom research.
- Modern web tagging and tracking to collect the right data from your customers.
- Integration of unstructured external data sources.
- Matching third party data to your internal customer database.
- Finding other innovate ways to augment your data assets.
We Develop Cutting-Edge Analytical Solutions
Our approach to analytics is simple.
- We holistically assess your business problems and identify data science solutions for quick-wins within the context of long-term analytics plans.
- Our team stays at the forefront of data science so we can implement the most effective solution to achieve innovation.
- We closely collaborate with your team to produce actionable outcomes.
We Deliver Enterprise Applications
We apply best practices that are market tested and value-proven.
- We integrate your data with custom built or open source web applications to facilitate fast translation of data and analytics.
- We work with you to integrate the resulting apps and models into your business infrastructure – with minimal taxing of your internal resources.
- We test and configure our applications to ensure a feedback loop continuously collects and provides information to improve data quality.
Meet the leadership team
Richard Vermillion has served as Fulcrum’s CEO since 2011, and was the company’s CTO from 1996 through 2011. In his former role, he was the chief architect of Fulcrum’s technology products and service offerings.
As the CEO, he led a management buy-out of Fulcrum in 2013 and built up Fulcrum’s modern data science and engineering capabilities. In 2015, he led the spin-out of After, Inc., the leading provider of warranty analytics solutions, and acted as After's CEO until its successful sale in 2017. Now full-time at Fulcrum, Richard continues to contribute to the development of the company’s technology platform and to key client relationships.
Before joining Fulcrum, Richard worked for McKinsey & Co. He holds a B.S.E. in Mechanical and Aerospace Engineering from Princeton University.
Tara Piazza has served as the Chief Operating Officer since 2016. She oversees Fulcrum's operational and marketing functions in addition to partnering with clients to deliver exceptional insights.
Tara is responsible for managing the HR, legal, financial, and marketing teams for Fulcrum. Additionally, she oversees the Fulcrum research practice, where she applies over twenty years of quantitative and qualitative market research experience across a wide range of industries. In particular, Tara guides Fulcrum's market research team in its custom market research studies that dive deeply into the hidden patterns within the collected data through the use of advanced data science methodologies.
Prior to joining Fulcrum, Tara served as a Manager of Technical Research for the Advertising Research Foundation, and as an Associate at the boutique market research provider David & Associates.
Tara received a B.A. in Sociology from Colgate University, and an M.B.A. from NYU’s Stern School of Business.
SVP, Data Science
Sean Christy, SVP, Data Science has been with Fulcrum since 2006 and leads the retail data science group, with experience across multiple industries including financial services, grocery, apparel/fashion, and insurance. He has helped clients leverage their data through customer segmentation, predictive and behavioral modeling, data visualization applications, recommender systems, web analytics, and big data engineering.
Sean received a PhD/M.A. from Binghamton University in Economics and a B.A. from Boston University.
SVP, Data Science
Siyu Zhou, SVP, Data Science has been with Fulcrum since 2010. She oversees analytical efforts specializing in the Financial Services sector and works closely with clients to build and cultivate excellent engagement experiences. She has partnered with many top insurance carriers and global investment banks to develop, improve and automate mission-critical processes, with a focus on data science and data engineering solutions.
She also has experience in direct marketing analytics for various industries and loss cost analytics for OEMs.
Siyu holds a B.S. in Applied Mathematics from Beijing Institute of Technology, a B.A. in Economics from Peking University and an M.S. in Applied Statistics from Cornell University.
SVP, Information Technology
Max Osse is the SVP of Information Technology overseeing Fulcrum's technology operations and information security. Max is responsible for spurring innovation at Fulcrum, leveraging emerging technologies to keep Fulcrum running and growing as an enterprise and providing best-in-class service to clients. Max works as a technical advisor, assisting clients in making technology and architectural decisions. He also works as technical account manager on client engagements, helping to solve business problems and driving value with big data solutions on Fulcrum's Anvil private cloud platform.
Max has worked at Kaplan Test Prep and has worked as a consultant for Pfizer and WNET-TV.
Max received a B.S. in Telecommunications from The University of Florida and a M.S. in Technology Management from Columbia University.
Mike Finegold, Advisor, has been with Fulcrum since 2013. He advises on the research and development of new analytical solutions to meet the changing needs of clients and take advantage of the variety and quantity of data now available.
He has led the development of data science solutions at several of the world’s largest investment banks and insurance carriers. Prior to Fulcrum, he held faculty positions with the Statistics Department at Carnegie Mellon University and the School of Information Systems at Singapore Management University. His research focused on modeling consumer preferences, inferring latent network structures, and designing marketing experiments for social networks. Prior to academia, he worked for several years as a management consultant, business development manager, and educator.
He received an AB in Mathematics from Princeton University and a PhD in Statistics from the University of Chicago.