Conflicting reports create confusion. Sales says one thing, finance says another, operations has a third version. Which number is right?
Strategic decisions delayed by data gathering. By the time analysts consolidate information, the opportunity has passed.
Can't trust AI outputs. Generic LLMs hallucinate numbers. You need answers you can stake million-dollar decisions on.
Preql creates a unified business intelligence layer that connects every data source and ensures consistent definitions across the entire organization.
Ask any question, get reliable answers. Natural language queries across all business functions with complete audit trails.
One version of truth across the org. No more "which report is right?" — every system speaks the same business language.
10x faster strategic insights. Questions that took analysts weeks now get answered in seconds, with full calculation transparency.
Stop scrambling to consolidate data from every department. Ask questions like "What's driving our margin change?" or "Where are we over-indexing on customer acquisition costs?" and get comprehensive answers with supporting data instantly.
Track KPIs across every business unit with confidence. Preql ensures metrics are defined consistently whether you're looking at sales performance, operational efficiency, or product adoption.
Quickly understand target companies by asking natural language questions about their financials, operations, and customer metrics. Get reliable answers without waiting for analyst teams to dig through data rooms.
When markets shift or crises hit, you need immediate answers. "Which product lines are most exposed?" "What's our cash runway under different scenarios?" Get strategic intelligence fast enough to act on.
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.