How We Analyze
Every analysis on this site goes through a structured multi-model pipeline. Multiple AI models examine the same evidence from different angles, debate each other's findings, and converge on evidence-graded assessments. The methodology is the product.
Multi-Lens Analysis
Each company is examined through 13 specialized lenses — from accounting integrity to tail risk. Each lens asks a different question and produces standardized, comparable signals.
Structured Discourse
For every lens, multiple models independently analyze the evidence, then critique each other's work. A synthesizer reconciles disagreements. Positions stabilize through debate, not averaging.
Evidence Grading
Every finding carries an evidence grade (E0-E3). Unverified claims are labeled, not hidden. You see what was checked, what wasn't, and where models disagree — so you know where to focus your own diligence.
The Pipeline
Source Collection
SEC filings, earnings transcripts, FRED data, industry reports, and alternative data sources are gathered and validated.
Structured Extraction
Raw documents are distilled into dense, fact-only dossiers. No interpretation yet — just the data, organized for analysis.
Independent Lens Analysis
Each lens runs independently. Multiple models analyze the same dossier through the lens framework, producing signal assessments with evidence grades.
Adversarial Discourse
A dedicated critic finds flaws, gaps, and unsupported claims. The original analyst defends or revises. A synthesizer reconciles. Positions are tested, not rubber-stamped.
Convergence
A moderator checks whether positions are stabilizing. If not, discourse continues. We seek convergence through evidence, not forced consensus.
Cross-Lens Synthesis
Findings across all lenses are aggregated. Corroborating signals strengthen confidence. Contradictions are preserved and surfaced.
What We Cover
The same discourse pipeline powers three analytical verticals.
Equity Analysis
13 lenses examining individual companies across accounting integrity, competitive position, regulatory risk, and more.
Macro Analysis
11 lenses tracking how policy changes, trade shifts, and global events propagate through the economy.
Sector Analysis
6 lenses comparing companies within an industry — competitive dynamics, capital cycles, value chain positioning.
Go Deeper
Full Taxonomy
Every lens, signal, and derived signal — the complete reference
Evidence Ladder
E0-E3 grading system — how we assess evidence quality
Analysis Ensemble
The roles, phases, and discourse structure behind each analysis
Committee Process
How convergence works — moderator, voice of reason, final synthesis
What This Produces
- Evidence-graded signal assessments per lens
- Model agreement/disagreement maps
- Cross-lens synthesis with corroboration scoring
- Probability estimates on forward-looking questions
- Transparent discourse transcripts
What it does not produce:
- Buy/sell recommendations
- Price targets or fair value estimates
- Personalized financial advice