Multiple ERPs means multiple different definitions of revenue, customer, and region. No common language across your financial systems.
Manual reconciliation drains resources. Your team spends 60% of their time consolidating data instead of analyzing it.
AI projects fail without clean data. LLMs hallucinate when fed raw, conflicting financial data from disconnected systems.
Preql's agentic platform cleans and unifies financial data across all your ERPs, CRMs, and spreadsheets automatically.
One definition, every system. Define "Q4 Revenue" once, and Preql maps every variation automatically across all sources.
Reduce manual work by 40-60%. Automate data preparation so your team focuses on strategic analysis, not Excel consolidation.
Audit-ready transparency. Every number traces back to sources systems with complete lineage and approval workflows.
Global manufacturers with acquisitions across different ERP systems use Preql to create unified financial views without years-long migration projects. Define metrics once, see them consistently everywhere.
Close Eliminate the manual data gathering that turns close into chaos. Preql agents continuously validate and reconcile data across Systems, cutting close time while increasing accuracy.
Built for banking regulations with automatic PII detection, permission harmonization, and complete audit trails. Make compliance reporting automated and trustworthy.
Give your CFO reliable answers to any financial question. "What's driving margin compression in EMEA?". "How does our cash conversions compare to last quarter?". All with full transparency into calculations.
Preql automates the hardest part of AI adoption: cleaning, reconciling, and contextualizing messy enterprise data. Our AI agents transform fragmented ERP, CRM, HR, and expense data into structured, auditable, AI-ready pipelines that scale across the enterprise.
Traditional ETL tools move data, but they don’t understand business context. Preql is semantic and agentic: it reconciles mismatched records, aligns metrics, and maintains governance so data is both technically accurate and business-relevant.
We partner with a wide range of enterprise leaders — from AI and data teams to CIOs, CFOs, and CEOs. Many of our earliest deployments have been with finance, where data reconciliation is most painful, but Preql is designed to support cross-functional initiatives spanning finance, operations, compliance, and IT.
Yes. Preql is purpose-built for enterprise deployment, with role-based access control (RBAC), encryption in transit and at rest, audit trails, and flexible deployment options (cloud or within your environment). Compliance, governance, and scale are core to our architecture.
AI copilots and automation tools are only as good as the data they run on. Preql ensures your data is reconciled, trusted, and semantically defined so copilots, BI dashboards, and automated workflows generate results you can rely on.
We start with quick integrations into your existing systems (ERP, CRM, HR, expense). Within weeks, Preql delivers reconciled, AI-ready data for key workflows. From there, we scale progressively across business units while maintaining strict governance and compliance.