Valon builds ValonOS, a unified platform replacing legacy mortgage servicing software across workflows, data and money movement. Its GCP, Kubernetes and Python core sits alongside a dense dbt, Airflow and Great Expectations data layer, and new adoption of Vitess, ClickHouse and Redis points to scaling sharded transactional and analytical workloads. Hiring is accelerating and skews toward senior engineering and product talent.
Valon is a New York-based, privately held company founded in 2019 that builds software for mortgage servicing. Its flagship product, ValonOS, acts as a system of record combining servicing workflows, data and payments in one platform, with agentic AI as a stated focus. The company targets servicers operating in a heavily regulated, low-margin segment of U.S. financial services. Valon employs 201–500 people and hires within the United States, with SOC 2 among its compliance credentials.
Valon runs Python, TypeScript, React, Next.js and Node.js on GCP with Docker and Kubernetes, plus a data stack of dbt Cloud, Apache Airflow, Great Expectations, Looker, Tableau and Power BI.
Valon is building ValonOS, a scalable mortgage servicing backend, enterprise deployments of the platform, regulatory compliance infrastructure, a batch processing control plane and a production-equivalent sandbox.
Yes. Engineering is Valon's largest hiring area, followed by product, with hiring accelerating and focused on senior and staff-level roles in the United States.
Other companies in the same industry, closest in size
Valon'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.
