Media-driven real estate brokerage with in-house production and agent tech
SERHANT. is a New York brokerage that pairs agent sales with in-house video, branding and listing-distribution capabilities. Its stack reads more like a software company than a brokerage: React Native, Expo, SvelteKit, Supabase, Temporal and ClickHouse point to internal product builds, consistent with projects around the S.MPLE program, self-serve agent marketing tools and an AI creative product. Accelerating hiring tilts toward sales, growth and marketing, centered on agent recruitment.
SERHANT. is a privately held real estate firm headquartered in New York, NY, with 51–200 employees. It combines traditional brokerage with in-house production and branding teams, SERHANT. Studios and ID Lab, plus a listing-exposure platform called SERHANT. ADX. Focus areas include new development, athlete relocation, social media and real estate marketing. The company serves buyers, sellers and development partners, and currently hires within the United States.
SERHANT. uses TypeScript, Node.js, Python, React Native, Expo, SvelteKit, Supabase, PostgreSQL, ClickHouse, Temporal and Azure, plus HubSpot, NetSuite, Stripe, Ramp, Figma and Adobe Creative Cloud.
Yes. Hiring is accelerating and concentrated in sales, growth and marketing, with recurring focus on recruiting top-performing agents and expanding the agent network across the United States.
Current initiatives include the S.MPLE adoption and onboarding program, an AI-powered creative product for ID Lab and Studios, self-serve agent marketing tools, video property tours and new development branding.
Other companies in the same industry, closest in size
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.