Filings in Plain English
A subscription product for independent equity analysts and sophisticated retail investors that scans a company's filings and earnings transcripts to flag contradictions (e.g. revenue growth claims that diverge from segment data) and explains each in one paragraph.
Independent equity analysts and serious retail investors
- One-click Consistency Report per ticker surfacing the five most material conflicts
- Plain-English explanation of why each flagged item changes the investment thesis
- Tracks inconsistency patterns across the last eight quarters to surface creeping red flags
- Email alerts when a held company's filings develop new contradictions after an earnings release
The retail research boom on Substack and X means independent analysts now compete with hedge funds and need institutional-grade tools at consumer prices.
Real but niche: Substack equity newsletters (e.g. Kroker, Equity Analysis) have hundreds of subscribers and indie analysts clearly need research aids, but the total addressable market of paying independent analysts is small.FilingLens — AI Research Copilot for Independent Analysts ↗Kroker Equity Research - Substack ↗
Crowded, not wide open: FilingLens ships a 'Management Credibility Tracker' (essentially contradiction flagging) at €49/mo, Hudson Labs at $100/mo, plus AlphaSense, Intelligize, Docoh and 2026 'best AI tools for SEC filings' roundups list 7–8 competitors.FilingLens — Research Copilot ↗Free & paid equity research software: The complete list ↗7 Best SEC Filings Search & Analysis Tools in 2026 ↗
Proven price points exist (€49/mo FilingLens, ~$100/mo Hudson Labs) showing willingness to pay, but indie analysts are price-sensitive and margins are thin below €100/mo; not a high-ARPU category.FilingLens — Research Copilot ↗Free & paid equity research software: The complete list ↗
Filings and earnings transcripts aren't going away, so the underlying need persists, but the underlying NLP task is being commoditized by general LLMs and arXiv-style academic work (e.g. the cited inconsistency-classification paper), keeping defensibility low.FAQ — FilingLens ↗
Technically achievable: RAG over SEC filings + earnings transcripts plus LLM-based comparison is a well-trodden pattern, but the cited 'no hallucination' marketing by FilingLens shows users punish wrong calls on numbers, so cross-document grounding and numeric verification are non-trivial.Security — FilingLens ↗AI-Powered SEC Filings Research and Analysis Platform ↗