FLAE replaces subjective probabilistic summaries with an immutable, typed Atomic Fact Ledger paired with a multi-document arbitration engine. Built for regulatory filings, statutory audits, and corporate financial dossiers.
Every document uploaded to a workspace undergoes a strict 4-stage pipeline that enforces structural integrity before any claim is matched or arbitrated:
Complete architectural flow mapping the multi-document ingestion pipeline, coordinate-anchored fact extraction, context envelope formulation, immutable ledger storage, and cross-document epistemic arbitration.
Standard AI summarizers falsely report contradictions when comparing figures that look comparable on the surface but differ in accounting methodology, organizational scope, or reporting period. FLAE resolves this by isolating each claim within six explicit dimensions:
Both filings assert mathematically and semantically compatible claims under the same context envelope. Example: identical express parcel volume numbers across the annual report and shareholder presentation.
Claims disagree under matching context envelopes without a valid statutory reconciliation. Example: conflicting board of director counts or irreconcilable capital expenditure figures.
Apparent numeric differences are fully explained by divergence in organizational scope (Standalone ₹74,540 M vs Consolidated ₹81,415 M) or temporal granularity (FY vs Q4).
Every atomic fact stored in FLAE requires an exact verbatim quotation, document UUID, and page number reference. Probabilistic hallucination is strictly prevented: if a claim cannot be tied to an explicit coordinate in the source PDF, the ingestion engine rejects the candidate claim into the Failure Audit trail.