Enterprise software for lease accounting, IWMS, workforce planning and decision AI
Nakisa sells enterprise software spanning lease accounting, IWMS, workforce planning and AI-driven decision support. Its stack mixes a legacy Java core (Jakarta EE, JSP, Subversion) with Kubernetes, Kafka, Docker and RAG, matching job-post themes around a shift to cloud-native NoOps delivery. Hiring is accelerating and engineering-led, while an Enterprise Account Director search and outbound pipeline pains point to a push for new enterprise logos.
Notable leadership hires: Enterprise Account Director
Nakisa is a privately held software company headquartered in Montreal, Quebec, founded in 1990, with 201–500 employees. Its portfolio covers decision intelligence, lease accounting compliant with IFRS 16 and ASC 842, integrated workplace management (IWMS), and workforce and organizational planning. Buyers sit in finance, real estate, HR, strategy and operations teams at large enterprises. The platform runs on Java and Spring Boot services with Vue, Angular and React front ends, deployed across AWS and Azure. The company currently hires in Canada and Pakistan.
Nakisa runs Java, Spring Boot and Jakarta EE back ends with Vue, Angular and React front ends, on Docker and Kubernetes across AWS and Azure, plus Kafka, Elasticsearch, Python and RAG for AI work.
Yes. Hiring is accelerating and engineering is the largest focus, mostly mid-level roles, alongside sales, HR and product openings in Canada and Pakistan.
Job posts point to cloud-native application development, a NoOps delivery transformation, AI deployment at scale, and client onboarding, data migration and SaaS implementation projects.
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Nakisa'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.