CartographAI automates end‑to‑end data integration by combining subject‑matter expertise with AI‑driven profiling and a curated mapping library.
Funding
Funding not disclosed
Founders
Product
Problem
Implementing and maintaining data integration projects often takes 12‑24 months and costs millions, due to manual analysis, lack of domain expertise, and errors in initial data mapping that degrade over time.
Solution
CartographAI combines subject‑matter expertise with artificial intelligence to automate the end‑to‑end data integration workflow. The platform intelligently extracts, profiles, and describes source data, then leverages a curated mapping library to recommend transformations that respect target schema constraints. Recommended mappings are presented with sample outputs that users can review or override, and the system automatically generates data pipelines to execute the transformations. Built‑in governance, reconciliation, and continuous quality checks monitor data accuracy and lineage, reducing manual effort and preventing downstream errors. The solution integrates with existing tools and technology stacks, providing transparent, auditable data flows for faster, lower‑cost implementations.
Target Audience
Primary customers are data engineering and integration teams in financial services firms that need to accelerate large‑scale application migrations and reduce reliance on costly manual mapping expertise.
Features
- AI‑driven profiling of source tables, attributes, values, metadata, and documentation, with domain‑specific descriptions for financial services
- Comprehensive, expert‑curated mapping library that suggests target‑application mappings and validates data types, constraints, and dependencies
- Automatic generation of ETL pipelines based on recommended mappings, with minimal human intervention
- Continuous data governance, reconciliation, and completeness checks that monitor quality and maintain audit‑ready lineage
- Interactive UI that shows sample transformed outputs and allows manual overrides of any mapping suggestion
- Seamless integration with existing enterprise tools and technology stacks