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Your AI Tool Is Only as Good as the Data Behind It

AI doesn’t magically turn complexity into clarity. It reflects whatever you give it.

Agentic Semantic Modeling

Automatically map your business logic, metrics, and definitions across all your systems

Data Cleaning Agents

Continuously resolve mismatches, anomalies, and schema drift without manual intervention

AI-Powered Reporting

Deliver structured, contextualized intelligence directly to copilots, dashboards, and decision workflows

Executive

Automatically map your business logic, metrics, and definitions across all your systems

Finance

Automatically map your business logic, metrics, and definitions across all your systems

Operations

Automatically map your business logic, metrics, and definitions across all your systems

Revenue

Automatically map your business logic, metrics, and definitions across all your systems

Technology

Automatically map your business logic, metrics, and definitions across all your systems

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Frequently Asked Questions

What does Preql actually do?

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.

How is Preql different from ETL or data prep tools?

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.

What teams does Preql work with?

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.

Is Preql AI enterprise-ready?

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.

How does Preql support AI copilots and workflows?

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.

What does implementation look like?

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.