Sound familiar?
You’re a forensic accountant or financial analyst trusted to catch risk before it’s too late — but financial distress can stay hidden until a crisis hits.
The problem
Traditional methods are manual, reactive, and slow. By the time distress is visible, the damage is done.
Your guide
FinGuard AI finds the warning signs early
FinGuard AI analyzes financial statement data using peer-reviewed machine learning models to surface early warning signals — up to 18 months before crises manifest.
Your plan
01
Upload financial statements or data.
02
Receive a Risk Score and key warning indicators.
03
Make confident decisions with explainable AI insights.
Our mission
To make financial reporting more trustworthy by giving the people who oversee it an early, explainable warning of distress and manipulation, before investors, employees and the public pay the price.
Built by researchers who have investigated fraud firsthand
Dr. Sana Ramzan, DBA
Co-Founder & Chief Research Officer
Doctoral research at Royal Roads University on explainable AI for predicting financial distress and earnings manipulation.
Dr. Mark Lokanan, PhD
Co-Founder & Chief Scientific Advisor
Professor of Accounting at Royal Roads University; former fraud investigator with Ontario’s Ministry of the Attorney General.
Join the Autumn 2026 pilot. Pilot partners get full platform access at no cost in exchange for feedback. Spaces are limited.