Provides an AI-powered data discovery platform that enables users to find, understand, and trust their data through natural language search, automated documentation, and SQL query simplification. It reduces reliance on IT by offering self-service analytics while ensuring data governance, compliance, and security at scale.
Funding
$23.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BCFounders
Product
Problem
Data teams often struggle to efficiently locate, comprehend, and trust the data assets required for analysis and decision-making. Traditional data discovery methods are time-consuming, rely heavily on IT support, and lack comprehensive documentation, leading to bottlenecks and inconsistent data usage. This can result in delayed insights, increased operational costs, and potential compliance risks.
Solution
CastorDoc offers an AI-powered data intelligence platform that enables self-service analytics while maintaining data governance and compliance. The platform provides a centralized data catalog with automated documentation, data lineage tracking, and AI-driven data quality assessments. Natural language search and SQL query simplification empower users to quickly find and understand data assets, reducing reliance on IT and fostering data-driven decision-making across the organization. By promoting data trust and accessibility, CastorDoc helps data teams optimize their workflows, improve data quality, and ensure compliance with regulatory standards.
Target Audience
CastorDoc primarily targets data teams, governance teams, and business teams within enterprises seeking to improve data discovery, governance, and self-service analytics capabilities.
Features
- Natural language search for intuitive data discovery across the entire data stack
- Automated data documentation and business glossary creation to centralize knowledge
- End-to-end data lineage visualization for tracking data flow and dependencies
- AI-powered data quality assessments and trust scores for evaluating data reliability
- SQL coding assistant to simplify query creation and reduce errors
- Role-based access control and security features to ensure data governance and compliance
- Integrations with popular data sources and BI tools for seamless connectivity
- Data customer support feature providing AI assistance throughout the platform