Preql
Preql is an agentic AI platform that autonomously cleans, reconciles, and semantically unifies enterprise data across ERP, CRM, HR, and expense systems. It serves enterprise finance, operations, and analytics teams at companies including Coca-Cola, Hearst, and Cross River Bank.
- Company typePrivate
- Founded2022
- HeadquartersBrooklyn, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Preql firmographics
Firmographics- Name
- Preql
- Legal name
- Preql
- Website
- https://preql.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Preql is an agentic AI platform that autonomously cleans, reconciles, and semantically unifies enterprise data across ERP, CRM, HR, and expense systems. It serves enterprise finance, operations, and analytics teams at companies including Coca-Cola, Hearst, and Cross River Bank.
- Ownership category
- akta.pro rank
Preql industry classification
Industry- Product category
- Enterprise Data Management Software
- NAICS
- Computer Systems Design Services (541512), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Modeling & Semantic Layer / Business Glossary (HDAEADAJ)
Keywords
Where Preql is headquartered
LocationHeadquarters
- HQ city
- Brooklyn
- HQ country
- United States
- HQ region
- North America
Markets served
Preql business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription: Enterprise SaaS platform sold via subscription model with demo-based sales motion. Pricing not publicly disclosed, requiring inquiry through sales team.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise subscription with custom pricing |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels4 records
Preql product offering
Product offeringCore offering
Preql is an agentic data cleaning platform that uses autonomous AI agents to discover, clean, and semantically unify fragmented enterprise data across ERP, CRM, HR, and expense systems. The platform delivers reconciled, AI-ready data to copilots, dashboards, and decision workflows without requiring costly data migrations or multi-year consulting engagements. It comprises three integrated products: Agentic Semantic Modeling, Data Cleaning Agents, and AI-Powered Reporting.
Differentiator
Problem solved
Functional benefit
Brands
- Agentic Semantic Modeling: Automatically map your business logic, metrics, and definitions across all your systems
- Data Cleaning Agents
- AI-Powered Reporting
Products and services
- Agentic Semantic Modeling Automatically maps business logic, metrics, and definitions across all systems, applying business context consistently across every dataset to ensure semantic alignment. Designed for enterprise data, analytics, and AI teams that need consistent definitions across fragmented ERP, CRM, HR, and expense systems.
- Data Cleaning Agents Continuously resolves mismatches, anomalies, and schema drift without manual intervention, catching and resolving errors before they propagate through the data stack. Built for enterprise data and analytics teams that need automated, ongoing data quality management across fragmented systems.
- AI-Powered Reporting Delivers structured, contextualized intelligence directly to copilots, dashboards, and decision workflows, enabling reliable analytics from day one. Targeted at enterprise analytics, BI, and AI teams that need AI-ready, reconciled data outputs feeding downstream copilots and dashboards.
Quantifiable outcome
- 70% of analyst time currently spent prepping data in spreadsheets - Preql automates this reconciliation
- +3 more outcomes
Companies that use Preql
Customer profileNamed customers12 records
Segments7 records
Ideal customer profiles3 records
Preql technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature5 records
Preql partnerships and signals
Strategic signalScale indicators1 record
Preql competitors and assessment
Company assessmentDirect peers
- Monte Carlo: Data observability and quality platform that monitors, resolves, and prevents data issues across the modern data stack. Most directly comparable to Preql's data cleaning and reconciliation capabilities, though Monte Carlo focuses more on monitoring than semantic modeling.
- Alation: Data catalog and governance platform with semantic layer and metadata management capabilities. Competes with Preql's agentic semantic modeling in the data intelligence category, with broader enterprise penetration.
- dbt Labs: Data transformation platform that has expanded into semantic modeling with the dbt Semantic Layer. Competes for the same analytics engineering buyer trying to deliver trusted, AI-ready data pipelines.
- Atlan: Modern data catalog and governance platform with active metadata, lineage, and AI-context capabilities. Targets similar data/analytics teams and increasingly positions around AI-readiness, directly overlapping with Preql's value proposition.
- Great Expectations: Open-source and cloud data quality framework for testing, documenting, and validating data pipelines. Direct overlap with Preql's data cleaning agents in the data quality assurance layer of the modern data stack.
- Soda: Data observability and quality platform that detects, resolves, and prevents data issues. Comparable to Preql in the data quality category with a developer-focused orientation.
Broad incumbents
- Collibra: Established enterprise data intelligence and governance platform serving large regulated organizations. Overlaps with Preql's semantic modeling and governance capabilities but operates as a broader portfolio play with much larger scale.
- Informatica: Large incumbent in data integration, governance, and master data management. Competes across multiple categories where Preql operates, with much broader enterprise footprint but heavier legacy architecture.
Emerging players
- Acceldata: Data observability platform focused on data reliability across pipelines, warehouses, and business critical data. Comparable in addressing enterprise data quality pain points with an emerging-player positioning.
- Cube: Semantic layer platform for defining and delivering consistent metrics across BI tools and AI applications. Directly overlaps with Preql's agentic semantic modeling focus on metrics definitions and cross-system consistency.
Market position
Customer concentration
Preql social profiles
Digital presencePreql financial estimates
Financial estimateRevenue estimate
Valuation estimate
Preql leadership team
Management profileNumber of profiles
Preql funding detail
Funding detailFunding overview
Funding rounds1 record
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Preql M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Preql
What does Preql do?
Preql is an agentic data cleaning platform that uses autonomous AI agents to discover, clean, and semantically unify fragmented enterprise data across ERP, CRM, HR, and expense systems. The platform delivers reconciled, AI-ready data to copilots, dashboards, and decision workflows without requiring costly data migrations or multi-year consulting engagements. It comprises three integrated products: Agentic Semantic Modeling, Data Cleaning Agents, and AI-Powered Reporting.
Is Preql a public or private company?
Preql is a private company. It is classified as venture growth investor backed and is currently operating.
When was Preql founded?
Preql was founded in 2022. It employs 1 to 10 people.
Where is Preql based?
Preql is headquartered in Brooklyn, United States, in the North America region.
How does Preql make money?
One revenue line is on record: saaS Subscription.
Who are Preql's main competitors?
Direct peers on record are Monte Carlo, Alation, dbt Labs, Atlan, Great Expectations and Soda. Broad incumbents are Collibra and Informatica. Emerging players are Acceldata and Cube.
Does Preql have an API?
No public API is recorded for Preql.
What industry is Preql in?
Preql's product category is Enterprise Data Management Software. Its primary akta.pro industry code is HDAEADAJ, Data Modeling & Semantic Layer / Business Glossary. Its NAICS code is 541512 and its SIC code is 7372.