AI promised to transform finance, yet banks and fintechs struggle to achieve real results without massive investments in infrastructure, processes, and hard-to-find talent.

We built Savvi to make enterprise AI secure, scalable, and affordable.

Why We Started Savvi

After building and selling GPShopper to Synchrony (NYSE: SYF) and leading AI innovation there, they knew the barrier wasn’t data science. It was everything that happened after the model was built—deployment, scale, compliance, and trust.

Out on a hike, they talked about how they could sketch a different future: an enterprise-grade AI platform purpose-built for financial services, where teams could build, own, and launch AI apps and agents faster without making huge investments in infrastructure and talent teams. Six months later Savvi was born.

Built by Fintech Insiders for Fintech Leaders

Our co-founders have a combined experience of 20 years in building AI solutions in Fintech and Finserve. Our team has spent decades building AI-based intelligent solutions for top brands like Amazon, Citibank, McDonald's, Adidas, Synchrony, and Best Buy. We represent top technical talent from Carnegie Mellon, UIUC, The University of Chicago, Georgia Tech, and more.

What We Stand For

Respect & Trust

We treat everyone with dignity and respect, creating a flexible culture built on trust and open communication.

Thoughtful Communication

We listen deeply, learn continuously, and share ideas with clarity and intention.

Responsible Innovation

We build powerful tools and embrace the responsibility that comes with shaping how people use AI.

Bias for Action

We prioritize making over meetings and move quickly from ideas to impact.

Solution-Driven

We adapt, iterate, and focus on finding answers, not assigning blame.

Inclusive by Design

We value diverse perspectives and create space where every voice is heard and every background respected.

Ready to Build AI That Delivers?

Savvi helps payment providers, banks, and fintechs launch secure, autoscaling AI apps and agents—without massive teams or infrastructure headaches.