Prototype · illustrative data · fictional companiesNot investment research · not for distribution
AI Signal Gauge · standalone page
Quantrell Analytics (QTRL)
Filings-based rating of whether a company’s AI is earning its cost · quarterly · two cohorts
AI Signal Gauge for QTRL
ApplicationCompounding
Application cohort · quarterly · as of 10-Q filed 30 Jul 2026
Claim–reality divergence · LowClaims are few, specific and quantified. Margin and disclosed inference efficiency moved the way the claims said they would.
Factor checklist
next input: 10-K, Feb 2027- Gross margin vs cohortindex-adjusted trajectory71% · cohort 55% · 8q trend +6 pts vs cohort +6▲ improvingWhat would change this: Two quarters of index-adjusted contraction.✓Supports
- Inference Efficiency RatioAI revenue ÷ inference cost9.4 : 1 · disclosed · healthy above 10 : 1 for AI-infused▲ improvingWhat would change this: A fall below the 8 : 1 floor.✓Supports
- Workflow positionItem 1, published rubricDecision path · underwriting and pricing decisions→ flatWhat would change this: A repositioning of AI as assistive in Item 1.✓Supports
- Claim–reality divergenceclaims vs. financial movementLow · claims quantified and delivered→ flatWhat would change this: Claim intensity rising faster than delivered margin.✓Supports
- Propagation riskItem 1A, partialNamed error costs in underwriting · above-cohort specificityWhat would change this: Partial factor.–Neutral
- Hidden reasoning activitynot observable from disclosureNot measuredNot measured
Ranked within the Application cohort only · greyed rows are unmeasurable by designMethod →
Reality Bar · AI Infrastructure & Software ETF
illustrative · 100 holdings
- Compounding
- 11
- Earning
- 19
- Neutral
- 23
- Leaking
- 8
- Talking
- 14
- Insufficient disclosure
- 25
Coverage, stated
41 of 60 demo names fully scored · 19 return insufficient disclosure, 17 of them in the application cohort. The number is published on the method page and moves as disclosure improves.
What this rating is not
It does not measure tokens, cost per task or hidden reasoning. It measures what public filings allow: disclosed cost against a provider price index, where AI sits in the business, and whether the claims match the numbers.