Preql AI builds an agentic data platform that addresses one of the most persistent challenges in enterprise technology: extracting trustworthy intelligence from fragmented ERP and CRM systems. The platform automatically cleans, reconciles, and contextualizes messy enterprise data, delivering reliable foundations for AI, analytics, and reporting. Founded by former WeWork data engineers, Preql has demonstrated significant traction, powering over $100 billion in live, reliable data across customer organizations and achieving 10x faster time-to-insight for its users.
The platform serves a notable roster of clients spanning media, finance, and consumer goods, including Hearst, MLB Network, Business Insider, Coca-Cola, and Cross River Bank. By bridging the gap between business users and data teams, Preql makes complex data transformation processes invisible and accessible, enabling organizations to derive value without requiring deep technical expertise at every step.
Technical work at Preql spans agentic data systems, automated reconciliation, data contextualization, and financial data unification - domains that sit at the intersection of AI infrastructure and enterprise software. The company's focus on building the data foundation layer for trustworthy AI positions it within a critical and growing segment of the technology landscape.
