Hudson Labs can help with data requests related to language in SEC filings, earnings transcripts, and related to the evolution of risk among U.S. publicly listed companies. Due to the small size of our team, kindly only make requests for stories that are scheduled to be published in the next 2-3 weeks.
Available Hudson Labs data on request:
Material weakness and/or going concern warning (bankruptcy risk) data
SEC activity and trends
This could include the number of comment letters, or new enforcement actions, for instance.
Example: The SEC in 2021 - A Year in Review
SEC filing timing and trends
Auditor and audit partner data and trend analysis
Company name and/or sector change data
Other qualitative data found in SEC filings
Other qualitative data could include management turnover, related party transactions, accounting policy changes etc.
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Expert interviews with the Hudson Labs team:
Ask Suhas Pai, CTO about AI research, applied AI in finance, NLP, large language models, AI ethics, and model bias.
Here are a few of Suhas’ recent media engagements: Keynote at the Toronto Machine Learning Summit, How language models are disrupting equity research
Ask Kris Bennatti, CEO about fraud, forensic analytics, audit and the role of auditors, the role of shortsellers, securities regulation, internal controls, and text analytics.
Here are a few of Kris' media engagements: BNN Bloomberg TV interview on AI and equity research, Spacs confess to accounting weaknesses as year-end audits loom, Berkeley Fraud Fest - Forensic Analytics, The Vision Research Investing Conference, and Fixing Audit Won’t Fix Fraud