Enterprise AI Starts
With Clean Data

Preql is making data preparation simpler, smarter, and faster

Building the best AI Data Cleaning Agents

At Preql, our mission is simple: unlock AI potential by making data preparation invisible. Our platform delivers solutions that save money across organizations, drive measurable ROI, and free teams to focus on their core business challenges, because data cleaning shouldn't be one of them.

Founded By

Gabi Steele

Leah Weiss

Located In

New York, NY

Our Story

As data engineering leaders and consulting partners, we've been solving enterprise data cleaning and semantic layer challenges for over a decade. Long before AI agents existed, we knew the fundamental problem: business teams needed clean, contextual data but were trapped by complex technical barriers.

Since the early days of modern data stacks, we've worked with hundreds of enterprises struggling with the same core issue. Messy, siloed data that requires constant engineering intervention to become business-ready. Every semantic layer solution required technical expertise. Every data transformation demanded specialized knowledge.

Today, we've evolved far beyond traditional data modeling approaches. Our AI agents understand business context, handle complex transformations, and build semantic layers that actually work through natural language interaction.

The world's leading enterprises are already using our platform to eliminate the bottleneck between raw data and business intelligence, turning what once required months of engineering work into simple conversations.

We are the world's experts at enterprise data semantics, finally making clean, contextual data accessible to everyone.