Real estate brokerage built on content production and tech-enabled marketing
SERHANT. operates a full-service real estate firm anchored in in-house content studios (SERHANT. Studios and ID Lab) and a proprietary marketing platform (SERHANT. ADX). The tech stack reveals a media-first engineering culture: React Native + TypeScript front-end, Temporal + Inngest for workflow orchestration, and heavy Adobe Creative Cloud usage alongside Frame.io for production collaboration. The hiring mix is marketing-led (8 of 21 recent hires) with active ops, sales, and growth roles—indicating scaling of both content production and agent acquisition against documented pain points in recruitment and CRM data management.
SERHANT. is a New York-based real estate brokerage that combines traditional brokerage services with proprietary content production and digital marketing capabilities. The firm operates three core units: a sales organization of agents, in-house creative studios (SERHANT. Studios and ID Lab) that produce video content and branded materials, and a tech platform (SERHANT. ADX) designed to maximize listing exposure and reach buyers. The company handles new development, athlete relocation, and high-end residential transactions across the United States, with distributed hiring in the Philippines. Operational scale spans commission processing, lead management, and multi-channel content distribution.
React Native, TypeScript, PostgreSQL, Python, Azure, Node.js, Temporal, Inngest, Supabase, Asana, Notion, Figma, Adobe Creative Cloud, Frame.io, NetSuite, HubSpot, Stripe, and Ramp.
New York, NY. The company also hires in the Philippines for distributed operations.
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SERHANT.'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.