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Fenrock AI

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AI agents for banking back office

Winter 2026Founded 20262 peopleSan Francisco, CA, USA
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AI insightcan contain mistakes
Banking Back Office Compliance AISaaSSmall- to mid-sized banks and financial institutionsMedium competition
Moat
Specialized agents for bank-specific compliance use cases; regulatory exam pass rate improvements.
Key risk
Highly regulated industry; few customers (concentrated among regional banks); incumbent compliance software dominant.
Why now
Banking labor shortage; regulatory exams critical business drivers; AI compliance agents maturing for production.
Competitors
Thomson Reuters, ACI Worldwide, legacy banking software, emerging fintech compliance tools
โ†ป Pivot / rename signal

This company has previously operated under โ€œnew coโ€, โ€œFenrock.AIโ€, โ€œFenrock AIโ€, โ€œFenrock AI (YC W26)โ€. A rename frequently marks a pivot in positioning or product โ€” useful raw material for variant ideas.

About

We're building the Harvey for traditional financial services, starting with compliance use cases for small- to mid-sized banks in the US. Specialized AI agents for banks to 10x back office functions, which helps them pass regulatory exams and improve their efficiency ratios - the top 2 things every bank board cares about.

Founders ยท 2

Charu Sharma
Charu SharmaFounder

We're building specialized AI agents for banks to 10x back office functions. I previously founded and scaled 2 VC-backed companies to millions of users, hundreds of employees, and tens of millions raised from top-tier VCs, including General Catalyst's Hemant Taneja. Fun fact: Fought goons in a train robbery in Mumbai and got the National Bravery Award from the Indian Prime Minister & President.

Michael M
Michael MFounder
GoogleApple

We're building specialized AI agents for banks to 10x back office functions. I previously spent 10 years building cutting-edge ML at Google and Apple for billions of users. I invented ways to train ML models without exposing private data, built Apple's first privacy-preserving ML at scale, and designed ML that helped a startup go public.

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