Hudson Labs uses artificial intelligence to read financial text and assess its importance in real-time. We provide machine-learned forensic risk assessment tools and advanced SEC filing navigation.
Hudson Labs' core forensic features with illustrative examples:
1. Machine-learned risk scoring | Anticipate malfeasance before stocks collapse | Illustrated by Cano Health’s current and historical risk scores
Find risk score backtesting at www.hudson-labs.com/research
2. Hudson Labs risk impact assessments | The context you need to accurately evaluate risk | Illustrated by Cano Health’s “Bedrock Summary View”
3. AI-detected red flags | Never miss price-moving information in SEC filings again | Illustrated by Cano Health’s August, 2021 quarterly filing’s top Hudson Labs red flags
Subsequent to being flagged as very high risk by Hudson Labs, Cano Health lost 90% of its market capitalization, falling from over $12 a share to under $2. Cano Health was forced to restate their financials, including revenue figures, and is now the subject of a class action lawsuit.
4. Red flag news | Featuring the highest impact flags extracted from SEC filings | Illustrated by the “Accounting” feed from February 15th, 2023
5. Short idea generation tools | Company screening by risk score, red flag category, market cap, ADV, ratios, and more
6. Email notifications | Never miss a red flag hidden in a 10-K again | Illustrated by Amazon's FYE 2022 10-K email notification
Find Hudson Labs whitepapers, backtesting & case studies at www.hudson-labs.com/research
