Cloud-based access control and facility management for enterprise buildings
Kisi operates a cloud access-control platform built on TypeScript, React, Node.js, and PostgreSQL, deployed across AWS, Azure, and GCP. The company is grappling with customer churn and expansion execution while simultaneously hardening cloud infrastructure and expanding their product portfolio — a tension typical of security-first SaaS scaling from product-market fit into larger enterprises. Marketing is driving retention-and-renewal programs and customer health monitoring (via HubSpot and Chargebee), suggesting a shift toward land-and-expand motion.
Kisi develops cloud-based access control and facility management systems for commercial and enterprise buildings. The platform combines sensors, mobile authentication, and web dashboards to replace traditional keycards and locks with digital access points. Founded in 2012 and headquartered in Brooklyn, the company serves mid-market real estate, flexible office, and enterprise facilities teams. The engineering-focused hiring mix reflects active backend and infrastructure work, while marketing and sales teams are scaling customer retention and expansion efforts across a geographically distributed workforce spanning Estonia, Lithuania, Singapore, Romania, Poland, India, and 12 other countries.
Kisi's platform runs on TypeScript and React on the frontend, Node.js and Express/Fastify backends, PostgreSQL and MySQL databases, and deploys to AWS, Azure, and GCP. They also use Cloudflare Zero Trust, Google Cloud Security Command Center, Terraform, and Checkov for infrastructure and security.
Kisi is headquartered in Brooklyn, New York, and was founded in 2012. The company operates a distributed hiring footprint spanning 18 countries including Estonia, Lithuania, Singapore, Romania, Poland, and India.
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Kisi'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 →
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