Overview
Preql AI provides a no-code data analytics platform that connects to a company’s existing data sources, allowing business users to manage and customize their metrics without needing a data team. It uses artificial intelligence to write data transformation code, keeps data up-to-date, and monitors data quality and freshness. The platform integrates with popular BI tools, enabling trusted reporting in minutes. Unlike traditional analytics setups that require engineers to translate business context into metrics, Preql lets users define their own metrics and handles the data structuring automatically. This single platform supports updating metrics, adding new data sources, and adapting to changing reporting needs as a business evolves. The goal is to empower non-technical users to produce reliable, timely insights with minimal setup and maintenance, typically via a subscription-based model.
Work here?Claim your company
Simplify's take
What believers are saying
- Preql says MLB Network, Cross River Bank, and Hearst use its platform.
- Its website updated October 2026 shows active product shipping and messaging.
- Gartner recognition in February 2026 strengthens sales credibility with finance leaders.
What critics are saying
- dbt Labs, Cube, Looker, and Databricks crowd Preql's semantic-layer market.
- CompWorth lists Preql at $2.2M revenue and 10+ employees, limiting endurance.
- If enterprise buyers standardize on existing stacks, Preql becomes an existential feature, not a company.
What makes Preql AI unique
- Preql AI won Gartner Cool Vendor status on February 24, 2026.
- It targets finance teams with no-code, agentic semantic modeling and reporting.
- Preql integrates ERP, CRM, HR, and expense data into auditable pipelines.
Help us improve and share your feedback! Did you find this helpful?
Funding
Industry standards