AI document analysis and underwriting automation platform for lenders
Ocrolus automates lender underwriting by classifying financial documents, extracting data, flagging fraud and analyzing cash flow. Its stack pairs Python, Java and Kafka on AWS and GCP with Encompass, pointing to direct integration into mortgage origination workflows. Hiring has slowed and tilts senior, led by product, sales and legal, while projects center on an API developer platform, model orchestration and customer onboarding programs.
Ocrolus is a privately held company founded in 2014 and headquartered in New York, with 201–500 employees. It sells an AI-driven platform to lenders across small business, mortgage and consumer lending. The platform processes financial documents to classify them, extract key fields, detect fraud and produce income and cash flow analysis that supports underwriting decisions. The company hires in the United States and India.
Ocrolus uses Python, Java, TypeScript and Flask, with Kafka, PostgreSQL, MySQL and Snowflake. It runs on AWS and GCP and uses Salesforce, HubSpot, Encompass, Tableau and Power BI.
Job posts point to document intelligence infrastructure, an API developer platform, model orchestration, AI-powered legal tools, and scalable customer onboarding and certification programs.
Ocrolus is headquartered in New York and hires in the United States and India, mostly for senior product, sales and legal roles.
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Ocrolus's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.