10x Time-To-Insight

The Enterprise Agentic
Data Platform

The context layer AI agents actually need

Preql delivers the data quality and semantic foundation that makes Al agents accurate and trustworthy. Get reliable answers from day one, not after months of prep.

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Built for Complex Data Environments

Disparate systems. Legacy infrastructure. Rigorous compliance. Our customers operate where mistakes are expensive, and Preql catches them automatically.

$100B+
powered by live,
reliable data

AI fails without context

Most Enterprise AI initiatives stall before they deliver value

The culprit isn't the Al, it's the data. The most valuable data in your business is trapped in disparate legacy systems that don't talk to each other. Your Al might be state-of-the-art, but if it's working with inconsistent definitions, outdated pipelines, or is missing business context, it's just a new way to serve up bad data.

The reality:

Disconnected Systems

Homegrown and legacy systems rarely speak the same language

Manual Reconciliation

Analysts spend 70% of time prepping data in spreadsheets

AI Roadblocks

Copilots and forecasting models fail without clean input

We build agents that clean and reconcile your enterprise data

Preql automates the hardest part of AI adoption: preparing structured, trustworthy data. Our agentic platform continuously cleans, aligns, and contextualizes data from every system — so your copilots, analytics, and workflows deliver results from day one.

Connect Systems

Plug into ERP, CRM, HR, and expense platforms in minutes

Clean & Reconcile

Agents resolve mismatches, anomalies, and schema drift automatically

AI-Ready Intelligence

Structured outputs flow seamlessly into copilots, dashboards, and workflows

Continuous Monitoring

Ongoing governance with audit trails and drift alerts

The Context Layer Your
AI Stack Is Missing

Preql's Al agents don't just serve data - they understand your business context, apply it consistently across systems, and catch errors before they reach your analytics or LLMs.

What makes it different:

  • Proactive, not reactive: Errors are caught and resolved before they propagate through your stack

  • Context-aware: Agents learn your business logic and apply it consistently across every dataset

  • Self-improving: The system gets smarter as it sees more patterns, automatically adapting to your evolving data lanascape

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

What does Preql actually do?
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