CEO David Trainer recently joined Carl Owen on the Edge of Intelligence podcast to break down how we combine machine learning, natural language processing, and deep accounting expertise to reverse accounting distortions and surface the true economics of a business.
Key topics from the discussion include:
- Why “garbage in, garbage out” is still true today.
- How data quality and footnotes create a quantifiable edge.
- How we pair human experts with machines to create superior fundamental research.
- The importance of ontology and taxonomy, and how it drives our AI agent, FinSights.
- Why transparency and auditability build trust.
- The case for domain-specific small language models (SLMs) vs. large language models (LLMs).
- The future of AI for investing.
Watch the entire interview below.
For more information on FinSights, see the press release here and watch our demo video here.
This article was originally published on December 18, 2025.
Disclosure: David Trainer and Kyle Guske II receive no compensation to write about any specific stock, style, or theme.
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