KWI operates a modular omnichannel platform for specialty retailers, built on a mature polyglot stack (Java, Python, Oracle, PostgreSQL, MongoDB, Redis) deployed across cloud and on-premise. Current project velocity reveals internal infrastructure scaling: CI/CD automation, endpoint security hardening, and AI-accelerated testing—suggesting the org is modernizing its testing and deployment practices while hiring senior engineers and product talent, likely to support both platform expansion and operational resilience.
KWI is a privately held retail software vendor headquartered in Melville, New York, founded in 1985. The company provides an integrated omnichannel platform enabling specialty retailers to manage point-of-sale, mobile checkout, merchandising, order management, eCommerce, loyalty, and CRM from a single system. Solutions are offered as standalone modules or pre-integrated suites. The platform is deployed across mid-market and enterprise retail accounts in the United States.
KWI runs Java, Python, Oracle, PostgreSQL, MongoDB, DynamoDB, and Redis. Infrastructure tools include Docker, Terraform, Ansible, Chef, and Puppet. Monitoring via Datadog. Desktop and identity management via macOS, Active Directory, and Intune.
Active projects include CI/CD-native testing solutions, AI-accelerated testing, infrastructure provisioning automation, endpoint security hardening, and retail platform scaling. Internal focus also includes modernizing recruiting operations and building out the hiring function.
KWI'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.