dataLineage.ai

Audit-grade reconciliation
for financial data

Automates table classification, lineage mapping, and hierarchical data validation without writing custom scripts. Deploy a PwC-derived data model instantly.

dataLineage Hero Pillars

Core Capabilities

Engineered for precision and autonomy.

Semantic Classification

Categorizes tables into a 9-Type financial taxonomy via AI heuristics and structural passes. Removes the reliance on tribal knowledge by automatically identifying General Ledgers, Transactions, and Balances.

Classification Gate
Medallion Layers

Medallion Enrichment

Generates Bronze, Silver, and Gold data layers natively. Enforces a strict composition-only rule at the Gold layer—preventing unverified aggregations and ensuring trace-back validity to the source.

The Pipeline

Automated from connect to reconcile.

Crawl Pipeline

Crawl Pipeline

11 Crawl Stages

Crawl Stages

Hierarchical Reconciliation

Financial engine built for ISA 315 / PCAOB standards.

Automates data roll-up validations through the financial hierarchy (e.g., subledger to general ledger). It aggregates, matches, and compares totals against defined tolerances to detect breaks or variances instantly.

Reconciliation Hierarchy

Under The Hood

Enterprise-Grade Architecture

System Architecture

Backend Stack

FastAPI (Python 3.12), Celery + Redis for asynchronous queuing and scheduled tasks.

Database Engine

SurrealDB powers both the Cytoscape graph visualization and high-performance document storage.

Security & Audit

NIST-standard AES-256-GCM encryption, RBAC Dual Auth, and immutable audit logging directly to SurrealDB.