PLACE operates a B2B2C platform serving real estate teams across 100+ locations in the US and Canada. The tech stack—NetSuite, AppFolio, Rails, React, PostgreSQL, plus HubSpot and Zendesk—reflects a mature backend for transaction and team operations, paired with modern frontend tooling. Active hiring skews ops-heavy (7 roles) over engineering (3), and projects focus on modernizing the closing experience and optimizing a CRM for high-volume transaction workflows, suggesting the platform is scaling operational complexity faster than feature velocity.
Notable leadership hires: Lead Generation Specialist
PLACE is a real estate technology and services platform founded in 2020 that partners with top-producing teams at any brokerage. The company operates a two-sided model: agents gain access to back-office services (accounting, HR, legal, talent acquisition, marketing support) and consumer-facing tools (mortgage, title/escrow, insurance, home improvement referrals); consumers get a streamlined buying, selling, and property management experience. PLACE claims agents can offload up to 75% of operational work through the platform. The company is headquartered in Bellingham, WA, employs 201–500 people, and is privately held.
PLACE runs on NetSuite and AppFolio for core operations, Rails and React for application development, PostgreSQL and Redis for data layers, Docker for deployment, plus HubSpot for CRM and Zendesk for support.
Current priorities include modernizing the closing experience, optimizing their CRM for operational workflows, designing microservices architecture, improving reporting/analytics, and managing technical debt to handle high-volume transaction processing.
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PLACE'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.