New platform turns 24 years of bank regulatory data into proprietary grades, run-vulnerability scores, peer analytics, and plain-English analysis.
WEST PALM BEACH, Fla., July 21, 2026 — BankAtlas today announced the launch of BankAtlas.com, an AI-enhanced fintech platform built to quantify the risk of every U.S. bank.
Designed for bank executives, risk teams, investors, and corporate treasurers, BankAtlas transforms decades of regulatory bank data into proprietary grades, run-vulnerability scores, peer comparisons, portfolio analytics, and market intelligence.
BankAtlas was built to help users move beyond raw filings and fragmented spreadsheets toward a faster, more consistent analytical workflow for evaluating bank risk, funding fragility, credit quality, capital trends, peer positioning, and market momentum.
“BankAtlas began with a problem the market was not solving: bank risk was often not being measured clearly until it was too late. Before the 2008 financial crisis, I was analyzing U.S. banks and saw risks the market was not effectively measuring or pricing. That work evolved over nearly two decades into a quantitative engine for evaluating every U.S. bank, individually and across the system.”
— Jonnathan Wong-Coronel, Founder of BankAtlas
BankAtlas combines proprietary risk models with AI. Users can ask questions in plain English across hundreds of thousands of bank-quarter records, generate AI risk summaries on individual banks, analyze custom watchlists and portfolios, and monitor regulatory developments sourced directly from FDIC, OCC, and Federal Reserve feeds, with AI-generated briefings as they break.
The platform’s core analytics include composite grades built from five risk dimensions — asset quality, earnings, capital, funding & liquidity, and concentration — a run-vulnerability index designed to identify funding-fragility signals, size-matched peer comparisons, historical charting, portfolio construction tools, and a proprietary momentum model for traded banks.
BankAtlas was refined across real market cycles, from the 2008 financial crisis to the 2023 regional-bank failures. In 2023, both Silicon Valley Bank and First Republic carried composite grades that looked healthy on the surface — yet both were flagged by the platform’s run-vulnerability lens, designed to surface exactly the funding-fragility signals that preceded their failures.
“BankAtlas is a quantitative bank-intelligence platform. Our grades and scores are proprietary analytical measures — not credit ratings — and we do not provide investment advice. We provide general, data-driven bank intelligence, now enhanced with AI to make proprietary bank-risk analytics queryable, interpretable, and actionable.”
— Jonnathan Wong-Coronel, Founder of BankAtlas
BankAtlas is available at BankAtlas.com.