School-level finance and activity fund platform for K-12 districts
KEV Group builds SchoolCash, a finance platform K-12 schools and districts use to collect, track and reconcile activity funds. Its Microsoft-centric stack (.NET, C#, Azure, Azure DevOps) paired with Playwright, Selenium and BrowserStack points to a mature QA culture, while job posts focus on payment gateways, fraud prevention and a micro frontend rollout. Hiring splits evenly between engineering and sales and skews senior, signaling platform investment alongside district expansion.
Notable leadership hires: Technical Lead
KEV Group is a privately held software company headquartered in Toronto, Ontario, founded in 1996. It sells the SchoolCash suite to K-12 school districts and individual schools across North America, covering activity fund accounting, online payments and fundraising. The company employs 201–500 people and hires in Canada and the United States. Go-to-market runs on Salesforce and HubSpot, and internal finance operates on NetSuite, Ramp and Adaptive Insights.
KEV Group builds on .NET, C#, ASP.NET and React hosted on Azure, with Azure DevOps for delivery, Playwright and Selenium for testing, dbt and Databricks for data, and Salesforce and HubSpot for sales and marketing.
Job posts point to SchoolCash payment platform development, payment gateway integrations, fraud prevention, a micro frontend implementation, SchoolCash accounting, and fundraising and lunch program features for schools.
KEV Group is headquartered in Toronto, Ontario, Canada, and hires across Canada and the United States for engineering, sales, product and support roles.
Other companies in the same industry, closest in size
KEV Group'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.