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 

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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.

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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