insights

Think Transparently

Stay ahead with AI-powered insights on accounting risks and opportunities

How we do AI: The basics
Learn the basics of Transparently.ai's cutting-edge AI. Our system uses pattern recognition and vast data to detect potential accounting fraud with unmatched speed and consistency.
Mark Jolley
December 4, 2025
Unlocking alpha in junk bonds with AI
Discover how forensic AI detects early signs of default in high-yield bonds, helping investors cut risk and boost returns through smarter credit screening.
Mark Jolley
November 13, 2025
The future of AI in building credit portfolios
Discover how AI is transforming fixed income strategies by enhancing credit selection, improving risk-adjusted returns and identifying alpha opportunities
Mark Jolley
November 6, 2025
The ascent of AI: A warning for active fund managers
Long underperforming active fund managers face a reckoning as AI transforms the industry. Discover how AI's ascent challenges traditional strategies.
Mark Jolley
October 30, 2025
NIO: What our accounting risk system found before GIC’s lawsuit
Transparently’s AI-powered system flagged key accounting risks at NIO years before GIC’s fraud lawsuit, highlighting the predictive power of accounting risk models.
Mark Jolley
October 21, 2025
Hidden risks in a shifting economy: Using advanced analytics to detect earnings manipulation
Transparently.ai uses predictive analytics and forensic accounting to detect earnings manipulation and financial reporting risks in an uncertain economy.
Steven Barrett
October 9, 2025

Want to learn more about our system?

Discover how our AI solution expedites fraud risk assessments and accurately predicts corporate collapse.

Transparently Manipulation Risk Engine

Dr. Hamish Macalister

Experience Transparently in action today
Request a personalized demo and discover how our AI can transform your financial analysis.
By subscribing you agree to our Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.