Validate explainable risk analytics early.
Collaborate directly with our research team to implement defensible, NYSE/NASDAQ-backed forensic models tailored to your firm's compliance architecture before public release.
Why join the pilot program
Integrate empirical, non-black-box auditing tools into your workflow. Establish defensible proof trails for complex financial disclosures.
Custom Risk Vectors
NYSE/NASDAQ Baselines
Defensible Evidence
Work alongside our engineering team to calibrate detection models to your specific regulatory and audit constraints.
Benchmark client portfolios against twenty years of historical filings to uncover hidden anomalies and manipulation.
Generate clear, explainable decision trees that translate machine learning hunches into regulatory-grade proof.
Addressing technical skepticism
How does explainable AI differ from black-box models?
Who is eligible for the pilot phase?
We are partnering with a select cohort of audit firms, forensic accountants, and financial regulators who require defensible forensic proof trails.
Unlike typical neural networks that output an arbitrary risk score, FinGuard maps every anomaly back to verifiable financial disclosures and specific governance data points.
What is required of pilot participants?
What data baseline does the platform use?
Participants receive early access in exchange for technical feedback on our UI mockups, explainable decision trees, and API integration.
Our algorithms are trained on two decades of NYSE and NASDAQ filings, establishing an empirical foundation rooted in peer-reviewed academic methodology.
Apply for the MVP cohort
Spaces are strictly limited to ensure high-touch technical support. Submit your details to request a demonstration and secure early access.