
Our team has spent years building and operating AI inside financial services.
We learned that the hardest part was never creating another model.
The hard part was getting AI into production in a way that could be trusted: connecting proprietary data, integrating with existing systems, applying governance and controls, monitoring performance, and making sure the intelligence actually improved business outcomes.
That problem becomes even more important as financial institutions adopt more models, AI applications, AI agents, and third-party AI.
Savvi AI was built to solve it.
Financial institutions should not have to choose between renting generic AI from outside vendors and building an entire AI organization themselves.
They should be able to:
Use the best models for each problem
Operate AI safely in regulated environments
Integrate intelligence into existing workflows
Maintain control of their data and decisions
Own and improve the intelligence they create
Measure AI by business outcomes, not experimentation
That is the future Savvi is building toward.
Savvi was founded by leaders with deep experience building AI products and operating AI in financial services.
We understand both sides of the challenge: what modern AI makes possible and what it actually takes to deploy it inside a regulated business.
Our co-founders have a combined experience of 20 years in building AI solutions in Fintech and Finserve and 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.

We treat everyone with dignity and respect, creating a flexible culture built on trust and open communication.
We listen deeply, learn continuously, and share ideas with clarity and intention.
We build powerful tools and embrace the responsibility that comes with shaping how people use AI.
We prioritize making over meetings and move quickly from ideas to impact.
We adapt, iterate, and focus on finding answers, not assigning blame.
We value diverse perspectives and create space where every voice is heard and every background respected.