Meet the team
Our Values
Constant Innovation & Improvement
Forged in the research climate of world-leading AI labs, we know the importance of continuous innovation in a quickly evolving field. Every member of the team regularly reads new literature to stay on top of the cutting edge and push boundaries with every commit.
With daily compounding improvements, we strive to realize visions for our customers that even they thought were too ambitious.
Our Vision
Financial peace of mind for everyone, anytime
We envision a future where customers could press a button, express their needs in their native language, and have their issues resolved instantly. Language is already the most natural mode of communication — especially when you have to explain an issue with nuance. We strive to also make it the most efficient channel for resolution.
If calling in was that easy, would you even bother navigating the app, reading docs, or writing emails for issues?
We believe financial peace of mind shouldn't be a luxury blocked behind manmade problems — it should be the standard for everyone.
Our Mission
Transforming customer interactions entirely
All the reasons users dread customer support are manmade problems — inconsistencies, bad attitude, wait times, and clunky obstacles like phone trees, hand-offs, or call transfers.
And financial institutions usually don't fix these because human-centric phone customer service is already a huge expense for them, even when it's clunky. Hiring more humans, running more hours, or improving human training would all further explode these costs.
Our AI agents aim to eliminate these by handling everything from real-time payment tracking to urgent fraud claims with unwavering accuracy and lightning-fast speed, all while delighting customers and reducing operational costs.
Our Founders
About the Founders
Chief executive officer
Saner has a remarkable track record of building reliable AI solutions for high-stakes applications. While studying Electrical Engineering and CS at UC Berkeley, he contributed to multiple publications in robot learning and computer vision at BAIR Lab. Before Trace, Saner co-built an AI copilot for surgeons that helped save lives during cardiothoracic surgeries at UCSF.
Chief technology officer
Yash specializes in engineering solutions to complex problems. He studied Math and CS at UC Berkeley and Stanford (MS). Before Trace, he worked as a Quant Researcher at Optiver and Goldman Sachs, where he enabled millions of dollars in annual profitability through his high-frequency trading strategies. He also contributed to ML research published by Stanford, Berkeley, and the US Department of Energy (LBNL).
Chief revenue officer
Kayla did her bachelor’s and master’s in CS at UC Berkeley, where she led groundbreaking NLP research under Professor Dan Klein. Before Trace, Kayla co-built an AI copilot for surgeons that helped save lives during cardiothoracic surgeries at UCSF. Kayla was also a national-level athlete in fencing and lacrosse — her unwavering perseverance and laser focus have become core values of Trace.
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