Enterprise wealth management platform for Canadian financial services
Univeris operates a mature, integrated wealth management platform built on Java and SQL Server, serving Canada's financial institutions since 1996. The tech stack—NetSuite for finance, Spring for application architecture, Terraform and Ansible for infrastructure—reflects a traditional enterprise software footprint rather than a cloud-native rebuild. Active projects around M&A due diligence and a generative AI agent for portfolio management suggest the company is evaluating where automation can enhance advisory workflows, while simultaneous work on finance transformation and feature expansion to new markets signals operational scaling beyond their Canadian core.
Notable leadership hires: Tech Lead
Univeris builds a unified wealth management platform serving Canadian retail wealth firms, banks, and financial advisors. The system consolidates back-office operations (trade settlement, fund administration), front-office practice management (advisor workflows), and compliance across mutual funds, segregated funds, GICs, cash products, and insurance. Founded in 1996 and headquartered in Toronto, the company remains privately held with 51–200 employees. Current hiring focuses on engineering, finance operations, and product roles across Canada and Spain, indicating geographic expansion ambitions.
Java, SQL Server, Spring, Angular, NetSuite, Terraform, Ansible, and Jira. The stack reflects enterprise architecture patterns: SOAP for integrations, JSF for UI, JUnit/TestNG for testing.
System improvements, M&A due diligence integration, a generative AI agent for portfolio management, wealth management platform modernization, and finance function transformation.
Univeris'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.