Preql AI Tech Stack

AI-powered data cleaning and reconciliation for finance teams

Software Development New York, NY 11–50 employees Founded 2022 Privately Held

Preql is a 11–50 person finance data platform built on TypeScript, Python, and cloud infrastructure (AWS, GCP, Azure), now adopting Claude and Aider to deepen AI-native capabilities. The company is engineering- and product-focused with senior-level headcount, but hiring has decelerated to just one open role in the past month—suggesting they're consolidating product-market fit rather than scaling headcount. Core projects cluster around conversational data transformation, agentic data cleaning workflows, and API integrations with financial systems (NetSuite, QuickBooks), indicating a shift away from manual reconciliation toward AI-driven automation.

Tech Stack 12 technologies

Core StackTypeScript Python AWS NetSuite QuickBooks Snowflake Figma GCP Azure Excel

AdoptingClaude Aider

What Preql AI Is Building

◆Challenges

Manual coding for data cleaning
Data transformation without code
Reliable metrics and automated reporting
Audit dashboards for finance teams
Cleaning and aligning disparate data
Keeping systems of record up-to-date
Scaling engineering team
Cleaning data without code
Adopting ai-powered tools

▲Active Projects

Interactive natural language data cleaning workflows
Ai financial data platform
Ai-powered data transformation web application
Api integrations with financial systems
Architect data engineering pipelines
Integrate ai codegen tools into production systems
Develop agentic data cleaning and layering features
Conversational ai data transformation interface
Design system for web applications

Hiring Activity

Decelerating5 roles · 1 in 30d

Department

Engineering

Product

Seniority

Senior

Manager

Mid

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About Preql AI

Preql builds an AI-powered data platform designed for finance teams at mid-market and enterprise companies. The platform unifies financial and operational data from ERP systems, automates reconciliation workflows, and generates clean reporting without requiring SQL expertise or infrastructure overhauls. The product surface spans interactive natural-language data cleaning, automated metric catalogs, financial and operational reporting dashboards, and integrations with systems like NetSuite and QuickBooks. Founded in 2022, the company operates from New York with a core focus on solving the manual-coding burden that plagues traditional data pipelines in finance.

HeadquartersNew York, NY

Company Size11–50 employees

Founded2022

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Preql AI use?

TypeScript and Python for backend/frontend development, AWS/GCP/Azure for cloud infrastructure, Snowflake for data warehousing, and Excel/NetSuite/QuickBooks for ERP integrations. Recently adopting Claude and Aider for AI-powered code generation.

What is Preql AI working on?

Core projects include interactive natural-language data cleaning workflows, agentic data transformation, conversational AI interfaces for data work, API integrations with financial systems, and productizing AI code-generation tools into production pipelines.