FFERM (Four-Factor Enterprise Risk Management) Technologies is a B2B SaaS company delivering an AI-powered enterprise risk-intelligence platform built on a quantitatively rigorous foundation — a production ensemble of ML models, examiner-grade composite analytics, and a deterministic core. The platform's patent-pending Four-Factor methodology — Compounding, Severity, Likelihood, and Predictability , converts complex multi-domain risk into a pattern-recognized intelligence layer that boards and executives can act on. Approximately 150 distinct quantitative, statistical, and AI/ML implementations work in concert to identify, score, and translate risk into qualitative behavioral statements , moving institutions from reactive scoring to proactive, examiner-ready decision-making. FFERM replaces the 40-year-old Likelihood × Impact risk matrix with four-dimensional intelligence that regulators respect and boards can act on.

We support five industry editions:

• FFERM for Banking — community, regional, and de novo institutions
• FFERM for Credit Unions — calibrated to NCUA examination and member-focused operations
• FFERM for Insurance — aligned to state insurance commissioner and NAIC frameworks
• FFERM for RIAs — with embedded GRC capabilities for SEC-registered investment advisors
• FFERM for Broker/Dealers — with embedded GRC capabilities for FINRA-regulated firms

The platform's Market Watch module layers in external risk intelligence , macro signals, sector and peer data, and regulatory climate , scored through the Four-Factor engine and surfaced as the proprietary Market Risk Intelligence Score (MRIS).

The platform serves financial institutions under active regulatory enforcement actions , a non-discretionary, urgent buying market in which small-bank enforcement actions hit a 20-year high in 2024. FFERM integrates with existing GRC systems and delivers examination-ready reporting that speaks the regulator's language. RIA and Broker/Dealer editions feature fully embedded GRC , first in the market.