See What Reported Numbers
Won't Tell You
Machine-driven accounting adjustment analysis. Screen thousands of companies, trace every figure to its source, and uncover the gaps between reported and adjusted reality.
THE ARCHITECTURE
Not Just AI. A Machine.
We didn't bolt AI onto a spreadsheet. We designed a systematic analysis engine where every step is conditional, validated, and traceable.
Conditional Factor Validation
Every data point passes through multi-layered conditional checks. If revenue recognition changes, the machine flags dependent adjustments across the entire statement.
Narrow Search Frameworks
Purpose-built analysis frameworks for specific risks — related party exposure, lease adjustments, IFRS reconciliations, and 250+ more risk vectors.
Source Traceability
Every adjusted figure links directly back to its source filing. No black boxes — every calculation is transparent, auditable, and reproducible.
Pre-Analyzed Output
Figures arrive pre-calculated with comparability adjustments applied. Peer groups normalized. Ratios computed. Ready for your decision.
CAPABILITIES
Everything You Need to Decode Financials
Deep Screening
Deterministic screening on any combination of 4,000+ data points across the universe of public companies.
Peer Analysis
Comparability layer normalizes accounting policies across peers. See how numbers stack up when everyone plays by the same rules.
4,000+ Data Points
Per company, per period — stored in structured JSON, human-readable format & excel.
Full REST API
Documents, screening, analysis, and reports. Pull any data point, any adjustment, any company — programmatically.
PROVEN ON REAL DATA
Same $100,000.
Smarter Numbers.
We ran the same simple strategy — buy the two cheapest stocks each reporting period — on a cohort of seven apparel & luxury brands. Once using our adjusted earnings, once using the raw reported numbers, once just tracking the S&P 500.
Backtest on seven publicly listed apparel & luxury parent companies, 2022–2025. Identical strategy in both runs — only the financial inputs differed. Transaction costs and realistic reporting delays applied. Past performance does not guarantee future results.
Structured Down to Every Field
Every analysis produces a fully structured JSON output — 4,000+ data points per company, per period. This allows deterministic data extraction, computation, and more.