Agentic Semantic Modeling

One Definition
Every System
Automatic Consistency

Your company speaks 47 dialects of the same language. Each ERP defines "revenue” differently. Every CRM has its own "customer" logic. Spreadsheets contradict databases. The result? Al agents that hallucinate, dashboards that conflict, and finance teams that can't trust their data.

Preql's agentic semantic layer solves this by creating a single source of truth that every system automatically maps to. Define a metric once, and our AI agents ensure consistency everywhere.

How It Works

Traditional semantic layers required months of manual SQL configuration by specialized engineers. Preql's Al agents build and maintain your semantic layer automatically by analyzing your data sources, suggesting relationships, and generating mappings with human-in-the-loop approval.
Our Discovery Agent scans all your data sources and identifies how different systems represent the same business concepts. The Translation Agent then converts these into a unified business logic layer that speaks your company's language, not database dialects.

Business Impact

Metrics You Can Trust, Across Every Tool
When "Q4 Revenue" is defined once in Preql, it automatically maps to rev_q4_2024, quarterly_sales_oct_dec, Fourth_Quarter_Rev, and every other variation across your systems. Changes propagate instantly. Your Power BI dashboards, AI agents, and LLM applications all speak the same language. No more "which report is right?". No more reconciling conflicting numbers. Just one version of the truth that updates everywhere automatically.

Enterprise-Grade Security

Designed to keep your most sensitive data safe and secure

What Customers say
About Preql AI

“With Preql, we gained confidence in our reporting and analytics. The platform streamlined our data processes and allowed us to focus on insights rather than wrestling with data preparation.”

VP Finance, Sports Media

“Preql provided our team with reliable data we could trust. As a business focused on data-driven decision making, having a tool like Preql has been essential to our success.”

Director of FP&A, Global Retailer

“Preql combines the familiar interface of Excel with powerful data quality, cleaning, and consolidation features typically unavailable to finance teams. It unified our diverse data sources and transformed our team’s operations.”

CFO, Beverage Manufacturing

“Finally, a tool that connects finance and operations without a massive IT project. We automated our reporting in days!”

VP Finance, Manufacturing Leader

“We used to spend 3 days reconciling data from different systems. With Preql, it’s now automated, accurate, and takes minutes instead of days.”

Director of FP&A, Tech Scale-up

“Now we actually have time to analyze, not just compile data. Our finance team is finally driving strategy instead of just crunching numbers.”

CFO, Retail Chain

Frequently Asked Questions

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How is Preql different from ETL or data prep tools?
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