Supervisory Intelligence
Enhancing supervisory processes and reporting through cutting-edge graph analytics, digital twins, and AI
FNA Advantage
Preempt systemic crises by exposing hidden contagion channels
Shift from reactive compliance to proactive oversight by mapping complex, interconnected financial networks, allowing authorities to uncover structural vulnerabilities and neutralize risks before they cascade through the ecosystem.
Achieve a high-fidelity, 360-degree view of systemic market health
Augment traditional, aggregated regulatory reporting with granular, transaction-level data to create an unprecedented, highly detailed perspective on both individual institutional soundness and broader macroeconomic stability.
Eliminate regulatory blind spots through continuous, market-wide oversight
Broaden the scope of supervision to encompass all traditional and non-banking entities of systemic importance by deploying real-time analytics and interactive dashboards that ensure complete, unbroken ecosystem visibility
Anticipate future market shocks with predictive, forward-looking foresight
Move beyond static historical data by leveraging advanced graph analytics, Digital Twins, and AI to mathematically model severe stress scenarios and proactively deploy highly targeted macroprudential policies.
The continuous evolution of the financial system has created hyper-connected, always-on markets. Supervising this complexity with static, first-generation dashboards and reactive compliance checking is no longer sufficient to ensure financial stability.
FNA delivers the definitive leap to “Supervisory Intelligence.” We provide an enterprise-grade Suptech utility that empowers central banks and financial authorities to move beyond historical data gathering. By leveraging cutting-edge network science and digital twins, we transform billions of reported data points into proactive network analytics and simulation-based foresight, allowing regulators to safeguard financial stability.
The Suptech Platform is designed to serve as the analytical backbone for the modern central bank and financial authority, unifying oversight across departments and data sources.
For Heads of Financial Stability: Gain a 360-degree view of systemic risk, enabling data-driven policy decisions and precise micro- and macro-prudential interventions.
For Supervisory & Risk Teams: Accelerate the journey from basic data visualization to predictive modeling, allowing for the early identification of distressed institutions.
For Financial Market Infrastructures Overseers: Monitor RTGS and other payment systems' intraday liquidity in real-time, identify settlement bottlenecks, and track systemically important participants.
Product Modules
Supervisory Reporting Analytics
Transform static regulatory reports into a dynamic, ecosystem-wide knowledge graph. This module fuses granular, transaction-level data to help central banks continuously track exposures, expose hidden structural vulnerabilities, and preemptively neutralize contagion risks before they cascade
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Macro-Prudential Portfolio Analytics
Quantify the systemic footprint of financial and non-financial institutions. By mapping complex investment networks, this module empowers supervisors to uncover hidden counterparty risks, mathematically model severe market shocks, and confidently deploy targeted, protective macroprudential policies.
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“FNA’s software and expertise has helped the bank improve its ongoing risk management processes reducing the time it takes to run analysis from weeks to only a few minutes.”
“FNA’s software and expertise has helped the bank improve its ongoing risk management processes reducing the time it takes to run analysis from weeks to only a few minutes.”
Fabio Ortega | Banco de la República
Fabio Ortega | Banco de la República
FNA is uniquely positioned to define the Suptech category, moving global financial oversight from reactive compliance to proactive foresight.
Trusted by the Central Banking Elite: For over a decade, FNA has partnered intimately with the world’s most advanced central banks and financial authorities (including the Bank of England and the Central Bank of the UAE) to design the future of micro- and macro-prudential supervision.
From Dashboards to Digital Twins: We move supervision beyond reactive charts. FNA provides the proprietary simulation engine required to build precise Digital Twins of national RTGS systems and other critical financial market infrastructures, enabling stress-testing for systemic resilience and testing and iterating modernization programs.
Intelligence Under Control: The central bank or financial authority retains full access to the data and models, and is never dependent on FNA to monitor and explain what is happening inside its own system. The goal is institutional sovereignty over the analytical function, achieved through tools the authority selects, procures on its own terms, and can operate independently.
Regulatory-Grade, Explainable AI: We reject the "black box." Our AI co-pilots and algorithmic risk scores are mathematically traceable and fully auditable, ensuring that every insight supporting financial supervision or regulatory intervention is entirely defensible.
Why FNA
Move from reactive compliance to protective, systemic foresight.
Get in touch with the team to learn more about how FNA can help build the sovereign infrastructure required to maintain the safety and efficiency of the financial system.
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No. FNA acts as an “Intelligence Layer.” We partner with or layer on top of your existing data collection providers (ingesting API, XBRL, SDMX) to add advanced graph analytics and digital twins directly on top of your current infrastructure.
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We reject the "black box" approach to artificial intelligence. Every automated narrative, anomaly explanation, and risk score generated by the platform is fully explainable and traceable back to the underlying mathematical models and raw data.
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Yes. The FNA Platform was purpose-built for the scale of sovereign financial data—from financial statements, to granular series of portfolios and transactions—, using advanced entity resolution to efficiently process high-velocity, high-volume datasets.
