Hudson Labs uses artificial intelligence to systematically assess fraud risk. Our AI models collect and assess unstructured data in securities filings, investor calls and press releases, helping you detect malfeasance before the stock price collapses.
Hudson Labs' core forensic features with illustrative examples:
1. The Hudson Labs forensic risk score
Anticipate malfeasance before stock price collapse | Illustrated by Super Micro Computer’s current and historical risk scores
Find risk score backtesting at www.hudson-labs.com/research
2. Hudson Labs risk impact assessments
Never miss price-moving information in SEC filings again | AI-detected red flags | Illustrated by concentrated related party risks disclosed in multiple filings
After being flagged as very high risk by Hudson Labs, SMCI lost ~40% of its market capitalization, falling from over $120 a share to under $30. SMCI was forced to restate its financials, and its auditor EY has resigned.
3. Hudson Labs Co-Analyst
Enhanced due diligence | Extract consistent, reliable, factual information from earnings calls within seconds
Use the Co-Analyst to answer questions like
- What are the inconsistencies in management statements over time?
- What went wrong this quarter that resulted in a significant price drop?
- What are my coverage companies' key risk exposures (e.g., tariff)?
- Did management make overly promotional statements?
- Is AI really driving growth? Is the impact quantified?
4. Proprietary datasets
View hard-to-find risks at the click of a button | Track bankruptcy risk, internal control weaknesses, restatements, and more in real-time
Bankruptcy Warnings
SOX Internal Control Weakness
5. Red flag feeds
Featuring the highest impact flags extracted from SEC filings | Live feed of SEC letters tracks high-impact comments as they’re made public
6. Email notifications
Never miss a red flag hidden in filings again
Find Hudson Labs’ whitepapers, backtesting & case studies at www.hudson-labs.com/research
