Ocrolus Tech Stack

AI-powered document automation and analytics platform for lenders

Financial Services New York 201–500 employees Founded 2014 Privately Held

Ocrolus builds document intelligence and workflow automation for lending operations—classifying financial docs, extracting data, detecting fraud, and analyzing cash flow. The stack (Kafka, Snowflake, PostgreSQL, Python, Flask on AWS) is engineered for scale, and active hiring across data, engineering, and sales signals growth in underwriting automation and platform integrations. Pain points center on fraud detection, compliance, and backend scaling for high-transaction-volume lending workflows.

Tech Stack 35 technologies

Core StackPostman Playwright Cypress JavaScript TypeScript Java Sentry Grafana Figma Jenkins GitHub Actions Jira Zendesk Freshdesk Tableau Power BI Python Kafka Snowflake PostgreSQL MySQL Flask AWS SQL Heap Encompass Microsoft Office Excel Word Salesforce Service Cloud+5 more

What Ocrolus Is Building

◆Challenges

Automating lender workflows
Fraud detection
Streamlining borrower evaluation
Reducing integration complexity
Ensuring compliance with standards
Optimizing analytics processes
Streamlining data pipelines
Improving reporting capabilities
Scaling backend for millions of transactions
Building next generation backend applications

▲Active Projects

Scalable data pipelines
Oltp & olap dashboards
Microservices development
Integrations across los, pos, and third-party mortgage platforms
Mortgage underwriting tool testing
Data architecture solutions
Online services and data pipelines
New product systems
Industry events
Owned field marketing programs

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

Data

Sales

Support

Marketing

Product

Seniority

Senior

Mid

Company intelligence

Find more companies like Ocrolus by tech stack, pain points and active projects

Get started free

About Ocrolus

Ocrolus is an AI-powered platform serving small business, mortgage, and consumer lenders. The core offering automates underwriting workflows by classifying financial documents, extracting key data points, running fraud detection, and delivering cash flow analysis. The company operates from New York with 201–500 employees, hiring across North America and India. Active projects span scalable data pipelines, OLTP and OLAP dashboards, microservices development, and integrations with loan origination systems, point-of-sale systems, and third-party mortgage platforms. The platform is designed to reduce borrower evaluation time, lower operational friction, and manage credit risk at scale.

HeadquartersNew York

Company Size201–500 employees

Founded2014

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Ocrolus use?

Ocrolus runs on AWS with Kafka, Snowflake, PostgreSQL, and MySQL for data infrastructure. Frontend: JavaScript and TypeScript. Backend: Python and Flask. Testing: Playwright and Cypress. Monitoring: Grafana and Sentry. BI: Tableau and Power BI.

What is Ocrolus working on?

Active projects include scalable data pipelines, OLTP/OLAP dashboards, microservices development, integrations with LOS and POS platforms, and mortgage underwriting tool testing. Focus areas are data architecture, backend scaling, and new product systems.