Preql AI builds an agentic data platform that cleans, reconciles and contextualizes messy enterprise data drawn from fragmented ERP and CRM systems. Its AI agents perform data cleaning, reconciliation and transformation automatically, producing a semantic foundation and AI-ready structured data for copilots, dashboards, analytics and reporting. The approach is designed to remove the need for engineers in routine reconciliation work and to bridge the gap between business users and data teams.
The company was founded by former WeWork data engineers. Technical work spans agentic AI, data quality and cleaning, data reconciliation, semantic layers, ETL and data integration, and enterprise data unification across ERP and CRM systems. Financial and operational data are unified without replacing existing ERP systems.
Preql reports powering over $100B in live, reliable data across customer organisations and enables 10x faster time-to-insight. Named enterprise customers include Coca Cola, Hearst, MLB Network, Business Insider and Cross River Bank. The platform serves finance and FP&A, banking and financial services, food and beverage, media and publishing, and sports and broadcasting, among other enterprise use cases.
