When I arrived at Springfield College, I was fascinated by a simple question: Why do the markets seem to reward a small group of insiders while millions of everyday people are too overwhelmed to even start investing?

The data on participation and literacy is sobering, but behind those numbers are real lives. When people sit on cash for years because they feel intimidated by finance, it is not just money that is lost. It is postponed dreams: the home they never buy, the business they never start, the degree they do not return for, or the security they struggle to build for their children. Again and again, I heard friends and family say some version of, “I know I should invest, but I do not know where to begin and I do not want to make a mistake.”

At the same time, during my first years at Springfield College, I was building quantitative models for my own research. These are algorithms that study how news, policy decisions, and global events ripple through U.S. markets. I saw that the same tools used by top quantitative firms and hedge funds could, in principle, help teachers, nurses, small business owners, and students make better decisions, too. They just needed to be wrapped in something human, accessible, and ethical, with a very clear goal: to help people translate their life dreams into concrete, risk-aware financial plans.

That tension became the seed of SigmaPointPi.

SigmaPointPi is an AI-driven quantitative technology startup that I have been building as an Honors Program student double majoring in Computer Science and Finance. At its core, SigmaPointPi is designing what we call an integrated intelligence system, a neural infrastructure that reads signals across finance, politics, health, defense, and global economics, then learns how those signals translate into risk and opportunity in the real world.

For institutions, that looks like our platforms such as SPPOS (our quantitative intelligence core), PoliMatrix (political and geoeconomic intelligence), and other engines that can help leaders anticipate disruptions instead of simply reacting to them. For individuals, the vision is even more personal. We want SigmaPointPi to serve as an AI co-pilot for your financial life, so that you do not need a PhD in Finance to invest responsibly, stay protected, and move steadily toward the future you imagine for yourself and your family.

 

In conversations with well over 100 students, professionals, and small business owners across campus and beyond, people consistently ask a version of the same question: “When can I use this? I just want to know where I should invest, and what I should avoid, without spending every night reading markets.” If you extrapolate those conversations into the wider world, the number of potential users quickly runs into the millions. What they are really saying is, “Help me align my money with the life I want.” That is the dream we are designing for.

None of this would exist without Springfield College. The Finance and Computer Science faculty have challenged me on risk management, ethics, and macroeconomics, and they have pushed me to defend every assumption in my models. The Honors Program has given me the flexibility to turn this work into a formal research project, and competing as a student-athlete on the golf team has taught me discipline, resilience, and how to perform under pressure. Springfield College’s culture of combining academic rigor, athletic excellence, and entrepreneurial thinking is not just a slogan in my case. It is the ecosystem that allowed SigmaPointPi to grow.

Along the way, this project has led me into rooms I never imagined I would enter as an undergraduate. I have had the opportunity to discuss SigmaPointPi’s ideas and conversation with a former CIA director, a former U.S. Secretary of State, senators, members of Congress, a mayor, BlackRock managing director, and leaders at top financial institutions. Those conversations were not about hype. They were about governance, systemic risk, national security, and how smarter intelligence systems can be used to protect people, not only to seek returns. Hearing their questions and concerns has shaped how I think about regulation, transparency, and the long-term responsibility that comes with building a system powerful enough to move real capital.

Looking ahead, my goal is to grow SigmaPointPi into a world-class quantitative intelligence company that serves both institutions and everyday people. I want a future where a first-generation college student or a mid-career nurse can access the same level of analytical insight as a major hedge fund, but in language and tools that feel as natural as checking a weather app. If we can do that, we will not just help more people invest. We will help close one of the biggest opportunity gaps in modern society—the gap between people who can act on information and people who feel overwhelmed by it. We will give more people a fair chance to build the lives and dreams that matter most to them.

SigmaPointPi began as code on my laptop in a Springfield College residence hall room. With the support of this College community, and with the right partners, I hope it will become a platform that changes how the world understands money, risk, and possibility, and that it will stand as proof that a student-founded idea can help people move from uncertainty toward their own definition of success.

Learn more at our official website: sigmapointpi.com
Questions? Contact: spp@sigmapointpi.com