Hiive operates a liquidity platform serving private companies and their shareholders in secondary markets. The tech stack reveals a modern, full-stack SaaS operation: TypeScript + React on the frontend, Elixir + Phoenix on the backend, GraphQL for data, PostgreSQL + AWS for infrastructure, with Kubernetes orchestration and cloud-native security (SAST, DAST, CSPM). Heavy hiring in product (11 roles) and engineering (9) alongside go-to-market architecture projects signals an inflection point—the company is simultaneously scaling platform capabilities and investing in partner integrations and multi-asset product expansion.
Hiive provides liquidity solutions for shareholders in private companies, operating as a marketplace or platform for secondary transactions. Founded in 2021 and based in Vancouver, the company serves mid-market and growth-stage private company ecosystems. The platform is built on a modern cloud-native architecture deployed on AWS with Kubernetes, supports multi-asset fund products, and is actively expanding its API and partner integration ecosystem. Hiive is hiring across product, engineering, and go-to-market functions, with a notable emphasis on director-level and senior technical roles.
Hiive's primary stack includes TypeScript, React, Elixir, Phoenix, GraphQL, PostgreSQL, AWS (EKS, RDS, VPC), Kubernetes, Docker, and Terraform. They also use Datadog for observability, Cloudflare for edge, and security scanning tools (SAST, DAST, CSPM).
Active projects include go-to-market system architecture, API platform strategy, partner integration ecosystem development, multi-asset fund approvals, and ongoing platform optimization. The company is also scaling design and operational capabilities.
Hiive'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.